{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Feature Visualization\n",
    "\n",
    "In this notebook we will visualize the feature statistics stored in the featurestore for featuregroups and training datasets. This notebook assumes that you have already run the featurestore tour and the notebook `FeaturestoreTourPython.ipynb`. \n",
    "\n",
    "The following featuregroups should exist in the featurestore:\n",
    "\n",
    "- `games_features`\n",
    "- `attendances_features`\n",
    "- `players_features`\n",
    "- `season_scores_features`\n",
    "- `teams_features`\n",
    "\n",
    "And the following training dataset should exist in the featurestore:\n",
    "\n",
    "- `team_position_prediction`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting using the PySpark Kernel Background\n",
    "\n",
    "When using Jupyter on Hopsworks, a library called sparkmagic is used to interact with the Hops cluster. When you create a Jupyter notebook on Hopsworks, you first select a kernel. A kernel is simply a program that executes the code that you have in the Jupyter cells, you can think of it as a REPL-backend to your jupyter notebook that acts as a frontend.\n",
    "\n",
    "Sparkmagic works with a remote REST server for Spark, called livy, running inside the Hops cluster. Livy is an interface that Jupyter-on-Hopsworks uses to interact with the Hops cluster. When you run Jupyter cells using the pyspark kernel, the kernel will automatically send commands to livy in the background for executing the commands on the cluster. \n",
    "\n",
    "Since the code in a pyspark notebook is being executed remotely, in the spark cluster, regular python plotting will not work. What you can do however is to use the magic `%%local` to access the local python kernel, or save figures as pngs to HopsFS and plot them locally later, we will go over both approaches in this tutorial."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Spark application\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr><th>ID</th><th>YARN Application ID</th><th>Kind</th><th>State</th><th>Spark UI</th><th>Driver log</th><th>Current session?</th></tr><tr><td>19</td><td>application_1560074891958_0021</td><td>pyspark</td><td>idle</td><td><a target=\"_blank\" href=\"http://hopsworks0.logicalclocks.com:8088/proxy/application_1560074891958_0021/\">Link</a></td><td><a target=\"_blank\" href=\"http://hopsworks0.logicalclocks.com:8042/node/containerlogs/container_e01_1560074891958_0021_01_000001/demo_featurestore_admin000__meb10000\">Link</a></td><td>✔</td></tr></table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SparkSession available as 'spark'.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from hops import featurestore, hdfs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%local\n",
    "%matplotlib inline\n",
    "from hops import featurestore"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting in `%%local`\n",
    "\n",
    "In the local environment we can plot like usual, just remember to execute a cell with `%matplotlib inline` so that the figures will be visualized in the notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting Feature Distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_distributions(\"games_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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zD3iq6lZJ3pHk2d19zQ6rz0ly5+6+b5K/SPI3O9nGQlV1VfXWrVtnWzAAsC5Mjx+Gx8K8awIAmJWZBjxVtW8m4c6bu/v0Hdd39zXdfd0wfWaSfavqgEXaLXR3dXdt2bJlliUDAOvE9PhheCzMuyYAgFmZ5V20KskpSS7o7pfvpM0PD+1SVfcb6rliVjUBAAAArEezvIvWA5I8IcnnqurcYdkJSe6UJN396iSPTfLbVXVDkm8neXx39wxrAgAAAFh3ZhbwdPdHktRu2rwiyStmVQMAAADARrAqd9ECAAAAYHYEPAAAAAAjJ+ABAAAAGDkBDwAAAMDICXgAAAAARk7AAwAAADByAh4AAACAkRPwAAAAAIycgAcAAABg5AQ8AAAAACMn4AEAWKaqOqSqPlRV51fVeVX1rGH5QlVdVlXnDo9HzLtWAGB92zTvAgAARuyGJM/p7nOq6tZJPlVVZw3rTu7ul86xNgBgAxHwAAAsU3dvS7JtmL62qi5IctB8qwIANiKnaAEArICqOjTJ4UnOHhY9o6o+W1Wvq6rb7eQ5C1XVVdVbt25dpUoBgDGbHj8Mj4VEwAMAsNeq6lZJ3pHk2d19TZJXJblrksMyOcLnZYs9r7sXuru6u7Zs2bJq9QIA4zU9fhgeC4mABwBgr1TVvpmEO2/u7tOTpLu/1t03dvf3krw2yf3mWSMAsP4JeAAAlqmqKskpSS7o7pdPLd881eyXk3x+tWsDADYWF1kGAFi+ByR5QpLPVdW5w7ITkhxXVYcl6SQXJ3nafMoDADYKAQ8AwDJ190eS1CKrzlztWgCAjc0pWgAAAAAjJ+ABAAAAGDkBDwAAAMDICXgAAAAARk7AAwAAADByAh4AAACAkRPwAAAAAIycgAcAAABg5AQ8AAAAACMn4AEAAAAYOQEPAAAAwMgJeAAAAABGTsADAAAAMHICHgAAAICRE/AAAAAAjJyABwAAAGDkBDwAAAAAIyfgAQAAABg5AQ8AAADAyAl4AAAAAEZOwAMAAAAwcgIeAAAAgJET8AAAAACMnIAHAAAAYOQEPAAAAAAjJ+ABAAAAGDkBDwAAAMDICXgAAAAARk7AAwAAADByAh4AAACAkRPwAAAAAIzczAKeqjqkqj5UVedX1XlV9axF2lRV/XlVXVRVn62qI2ZVDwAAAMB6tWmG274hyXO6+5yqunWST1XVWd19/lSbhye5+/D4qSSvGv4FAAAAYIlmdgRPd2/r7nOG6WuTXJDkoB2aHZvkDT3xsST7V9XmWdUEAAAAsB7N8gie76uqQ5McnuTsHVYdlOSSqflLh2Xbdnj+QpITk2Tz5nHnP6dfuG33jdawMdc/5toT9a9nY39vxlz/mGtPxl//rE2PHwYndffCfKoBAJitmV9kuapuleQdSZ7d3dcsZxvdvdDd1d21ZcuWlS0QAFiXpscPw2Nh3jUBAMzKTAOeqto3k3Dnzd19+iJNLktyyNT8wcMyAAAAAJZolnfRqiSnJLmgu1++k2ZnJHnicDeto5Jc3d2ONwcAAADYA7O8Bs8Dkjwhyeeq6txh2QlJ7pQk3f3qJGcmeUSSi5J8K8mTZlgPAAAAwLo0s4Cnuz+SpHbTppM8fVY1AAAAAGwEM7/IMgAAAACzJeABAAAAGDkBDwAAAMDICXgAAAAARk7AAwAAADByAh4AgGWqqkOq6kNVdX5VnVdVzxqW376qzqqqLwz/3m7etQIA65uABwBg+W5I8pzuvleSo5I8varuleT5ST7Y3XdP8sFhHgBgZgQ8AADL1N3buvucYfraJBckOSjJsUlOHZqdmuTR86kQANgoBDwAACugqg5NcniSs5Mc2N3bhlVfTXLgnMoCADYIAQ8AwF6qqlsleUeSZ3f3NdPruruT9E6et1BVXVW9devWVagUABi76fHD8FhIBDwAAHulqvbNJNx5c3efPiz+WlVtHtZvTnL5Ys/t7oXuru6uLVu2rE7BAMCoTY8fhsdCIuABAFi2qqokpyS5oLtfPrXqjCTHD9PHJ3nXatcGAGwsm+ZdAADAiD0gyROSfK6qzh2WnZDkxUneXlVPTvKvSR43p/oAgA1CwAMAsEzd/ZEktZPVD17NWgCAjc0pWgAAAAAjJ+ABAAAAGDkBDwAAAMDICXgAAAAARk7AAwAAADByAh4AAACAkVtSwFNVPz7rQgAA5sl4BwAYs6UewfM/q+rjVfXfquq2M60IAGA+jHcAgNFaUsDT3T+b5FeTHJLkU1X1V1X1kJlWBgCwiox3AIAxW/I1eLr7C0l+L8nzkvx8kj+vqn+pqsfMqjgAgNVkvAMAjNVSr8Fzn6o6OckFSR6U5FHd/aPD9MkzrA8AYFUY7wAAY7Zpie3+IslfJjmhu7+9fWF3b62q35tJZQAAq8t4BwAYraUGPI9M8u3uvjFJquomSW7e3d/q7jfOrDoAgNVjvAMAjNZSr8HzgST7Tc3fYlgGALBeGO8AAKO11IDn5t193faZYfoWsykJAGAujHcAgNFaasDzzao6YvtMVf1Ekm/voj0AwNgY7wAAo7XUa/A8O8lfV9XWJJXkh5P815lVBQCw+ox3AIDRWlLA092fqKp7JrnHsOjC7v7u7MoCAFhdxjsAwJgt9QieJPnJJIcOzzmiqtLdb5hJVQAA82G8AwCM0pICnqp6Y5K7Jjk3yY3D4k5iwAMArAvGOwDAmC31CJ4jk9yru3uWxQAAzJHxDgAwWku9i9bnM7nQIADAemW8AwCM1lKP4DkgyflV9fEk129f2N2/NJOqAABWn/EOADBaSw14FmZZBADAGrAw7wIAAJZrqbdJ/4equnOSu3f3B6rqFkn2mW1pAACrx3gHABizJV2Dp6qekuS0JK8ZFh2U5G9mVRQAwGoz3gEAxmypF1l+epIHJLkmSbr7C0l+aFZFAQDMgfEOADBaSw14ru/u72yfqapNSdxCFABYT4x3AIDRWmrA8w9VdUKS/arqIUn+Osm7Z1cWAMCqM94BAEZrqQHP85N8PcnnkjwtyZlJfm9WRQEAzIHxDgAwWku9i9b3krx2eAAArDvGOwDAmC0p4KmqL2eRc9C7+0dWvCIAgDkw3gEAxmxJAU+SI6emb57kV5LcfuXLAQCYG+MdAGC0lnQNnu6+YupxWXf/aZJHzrg2AIBVY7wDAIzZUk/ROmJq9iaZ/MK11KN/AADWPOMdAGDMljpoednU9A1JLk7yuF09oapel+SYJJd3970XWf/AJO9K8uVh0end/cIl1gMAsNL2eLwDALBWLPUuWr+wjG2/PskrkrxhF23+sbuPWca2AQBW1DLHOwAAa8JST9H6f3a1vrtfvsiyD1fVocsrCwBgdS1nvAMAsFbsyV20fjLJGcP8o5J8PMkX9nL/96+qzyTZmuR3uvu8vdweAMByzWq8AwAwc0sNeA5OckR3X5skVbWQ5G+7+9f2Yt/nJLlzd19XVY9I8jdJ7r5Yw2F/JybJ5s2b92KXAMBGMT1+GJzU3Qu7eMosxjsAAKtiSbdJT3Jgku9MzX9nWLZs3X1Nd183TJ+ZZN+qOmAnbRe6u7q7tmzZsje7BQA2iOnxw/BY2M1TVny8AwCwWpZ6BM8bkny8qt45zD86yal7s+Oq+uEkX+vurqr7ZRI2XbE32wQA2AsrPt4BAFgtS72L1h9W1XuT/Oyw6End/eldPaeq3pLkgUkOqKpLMzlEet9he69O8tgkv11VNyT5dpLHd3cv61UAAOyl5Yx3AADWiqUewZMkt0hyTXf/r6q6Y1Xdpbu/vLPG3X3crjbW3a/I5DbqAABrxR6NdwAA1oolXYOnqk5M8rwkLxgW7ZvkTbMqCgBgtRnvAABjttSLLP9ykl9K8s0k6e6tSW49q6IAAObAeAcAGK2lBjzfGa6P00lSVbecXUkAAHOxrPFOVb2uqi6vqs9PLVuoqsuq6tzh8YgZ1QwAkGTpAc/bq+o1Sfavqqck+UCS186uLACAVbfc8c7rkxy9yPKTu/uw4XHmCtYJAPCfLPUuWi+tqockuSbJPZL8fnefNdPKAABW0XLHO9394ao6dMblAQDs0m4DnqraJ8kHuvsXkgh1AIB1Z0bjnWdU1ROTfDLJc7r7yhXaLgDAf7LbU7S6+8Yk36uq265CPQAAq24G451XJblrksOSbEvyssUaDdfq6arqrVu3rtCuAYD1bHr8MDwWkiWeopXkuiSfq6qzMtxZIkm6+5krXyoAwFys2Hinu7+2fbqqXpvkPTtpt5BkIUmOPPLI3tP9AAAbz/T4YdpSA57ThwcAwHq1YuOdqtrc3duG2V9O8vldtQcA2Fu7DHiq6k7d/ZXuPnW1CgIAWE17O96pqrckeWCSA6rq0iQnJnlgVR2WyS3XL07ytBUqFwBgUbs7gudvkhyRJFX1ju7+L7MvCQBgVe3VeKe7j1tk8SkrURgAwFLt7iLLNTX9I7MsBABgTox3AIDR213A0zuZBgBYL4x3AIDR290pWvetqmsy+WVrv2E6w3x3921mWh0AwOwZ7wAAo7fLgKe791mtQgAA5sF4BwBYD3Z3ihYAAAAAa5yABwAAAGDkBDwAAAAAIyfgAQAAABg5AQ8AAADAyAl4AAAAAEZOwAMAAAAwcgIeAAAAgJET8AAAAACMnIAHAAAAYOQEPAAAAAAjJ+ABAAAAGDkBDwAAAMDICXgAAAAARk7AAwAAADByAh4AAACAkRPwAAAAAIycgAcAAABg5AQ8AAAAACMn4AEAAAAYOQEPAAAAwMgJeAAAAABGTsADAAAAMHICHgAAAICRE/AAAAAAjJyABwAAAGDkBDwAAAAAIyfgAQAAABg5AQ8AAADAyAl4AAAAAEZOwAMAAAAwcgIeAAAAgJET8AAAAACMnIAHAAAAYOQEPAAAAAAjN7OAp6peV1WXV9Xnd7K+qurPq+qiqvpsVR0xq1oAAAAA1rNZHsHz+iRH72L9w5PcfXg8NcmrZlgLAAAAwLo1s4Cnuz+c5Bu7aHJskjf0xMeS7F9Vm2dVDwAAAMB6Nc9r8ByU5JKp+UuHZf9JVS1UVVdVb926dVWKAwDGbXr8MDwW5l0TAMCsjOIiy9290N3V3bVly5Z5lwMAjMD0+GF4LMy7JgCAWZlnwHNZkkOm5g8elgEAAACwB+YZ8JyR5InD3bSOSnJ1d2+bYz0AAAAAo7RpVhuuqrckeWCSA6rq0iQnJtk3Sbr71UnOTPKIJBcl+VaSJ82qFgCAWamq1yU5Jsnl3X3vYdntk7wtyaFJLk7yuO6+cl41AgDr38wCnu4+bjfrO8nTZ7V/AIBV8vokr0jyhqllz0/ywe5+cVU9f5h/3hxqAwA2iFFcZBkAYK3q7g8n+cYOi49NcuowfWqSR69qUQDAhjOzI3gAADawA6euLfjVJAcu1mi4dfuJSbJ58+bVqWxGTr9wtpdSfMw9xv3+AMBKmR4/DE7q7gVH8AAAzNBwWnrvZN33b+W+ZcuWVa4MABij6fHD8FhInKIFADALX6uqzUky/Hv5nOsBANY5AQ8AwMo7I8nxw/TxSd41x1oAgA1AwAMAsBeq6i1JPprkHlV1aVU9OcmLkzykqr6Q5BeHeQCAmXGRZQCAvdDdx+1k1YNXtRAAYENzBA8AAADAyAl4AAAAAEZOwAMAAAAwcgIeAAAAgJET8AAAAACMnIAHAAAAYOQEPAAAAAAjJ+ABAAAAGDkBDwAAAMDICXgAAAAARk7AAwAAADByAh4AAACAkRPwAAAAAIycgAcAAABg5AQ8AAAAACMn4AEAAAAYOQEPAAAAwMgJeAAAAABGTsADAAAAMHICHgAAAICRE/AAAAAAjJyABwAAAGDkBDwAAAAAIyfgAQAAABg5AQ8AAADAyAl4AAAAAEZOwAMAAAAwcgIeAAAAgJET8AAAAACMnIAHAAAAYOQEPAAAAAAjJ+ABAAAAGDkBDwAAAMDICXgAAAAARk7AAwAAADByAh4AAACAkRPwAAAAAIycgAcAAABg5AQ8AAAAACMn4AEAAAAYOQEPAAAAwMgJeAAAAABGbqYBT1UdXVUXVtVFVfX8Rdb/elV9varOHR6/Oct6AAAAANajTbPacFXtk+SVSR6S5NIkn6iqM7r7/B2avq27nzGrOgAAAADWu1kewXO/JBd1920Oz3MAACAASURBVJe6+ztJ3prk2BnuDwAAAGBDmmXAc1CSS6bmLx2W7ei/VNVnq+q0qjpkhvUAAAAArEvzvsjyu5Mc2t33SXJWklMXa1RVC1XVVdVbt25d1QIBgHGaHj8Mj4U51HBxVX1uuNbgJ1d7/wDAxjHLgOeyJNNH5Bw8LPu+7r6iu68fZv8yyU8stqHuXuju6u7asmXLTIoFANaX6fHD8FiYUym/0N2HdfeRc9o/ALABzDLg+USSu1fVXarqpkken+SM6QZVtXlq9peSXDDDegAAAADWpZkFPN19Q5JnJHl/JsHN27v7vKp6YVX90tDsmVV1XlV9Jskzk/z6rOoBAJiDTvJ3VfWpqnrqjiudhg4A7KmdnYY+s9ukJ0l3n5nkzB2W/f7U9AuSvGCWNQAAzNHPdPdlVfVDSc6qqn/p7g9vXzmcNraQJEceeWTPp0QAYEymxw/T5n2RZQCAdau7Lxv+vTzJO5Pcb74VAQDrlYAHAGAGquqWVXXr7dNJHprk8/OtCgBYr2Z6ihYAwAZ2YJJ3VlUyGXP9VXe/b74lAQDrlYAHAGAGuvtLSe477zoAgI3BKVoAAAAAIyfgAQAAABg5AQ8AAADAyAl4AAAAAEZOwAMAAAAwcgIeAAAAgJET8AAAAACMnIAHAAAAYOQEPAAAAAAjJ+ABAAAAGDkBDwAAAMDICXgAAAAARk7AAwAAADByAh4AAACAkRPwAAAAAIycgAcAAABg5AQ8AAAAACMn4AEAAAAYOQEPAAAAwMgJeAAAAABGTsADAAAAMHICHgAAAICRE/AAAAAAjJyABwAAAGDkBDwAAAAAIyfgAQAAABg5AQ8AAADAyG2adwEAALA7p1+4babbf8w9Ns9s22OuHYDxcAQPAAAAwMgJeAAAAABGTsADAAAAMHICHgAAAICRE/AAAAAAjJyABwAAAGDkBDwAAAAAIyfgAQAAABg5AQ8AAADAyAl4AAAAAEZu07wLAAAAlu/0C7fNu4Q17TH32DzvEoA1Ztbfm/P63nEEDwAAAMDICXgAAAAARk7AAwAAADByAh4AAACAkRPwAAAAAIycgAcAAABg5AQ8AAAAACM304Cnqo6uqgur6qKqev4i629WVW8b1p9dVYfOsh4AgNW0u7EQAMBKmVnAU1X7JHllkocnuVeS46rqXjs0e3KSK7v7bklOTvKSWdUDALCaljgWAgBYEbM8gud+SS7q7i9193eSvDXJsTu0OTbJqcP0aUkeXFU1w5oAAFbLUsZCAAArYtMMt31Qkkum5i9N8lM7a9PdN1TV1UnukOTfphtV1UKSE4fZb1XVBUm2JNm68mWzh/TD/OmD+dMHa4N+mL+11gcXJbnr1PxJ3b2wivvf7VhoJ2Ocxay195YfpH/WPn20tumftU8frS2LjnFmGfCsmGEwtjC9rKq6u7fMpSC+Tz/Mnz6YP32wNuiH+dMHe26xMc5ivLdrm/5Z+/TR2qZ/1j59NA6zPEXrsiSHTM0fPCxbtE1VbUpy2yRXzLAmAIDVspSxEADAiphlwPOJJHevqrtU1U2TPD7JGTu0OSPJ8cP0Y5P8fXf3DGsCAFgtSxkLAQCsiJmdojVcU+cZSd6fZJ8kr+vu86rqhUk+2d1nJDklyRur6qIk38hk4LNUJ6140SyHfpg/fTB/+mBt0A/zpw+m7GwstMzNeW/XNv2z9umjtU3/rH36aATKATMAAAAA4zbLU7QAAAAAWAUCHgAAAICRG2XAU1VHV9WFVXVRVT1/3vVsBFX1uqq6vKo+P7Xs9lV1VlV9Yfj3dvOscb2rqkOq6kNVdX5VnVdVzxqW64dVVFU3r6qPV9Vnhn44aVh+l6o6e/heettwQVVmqKr2qapPV9V7hnl9sIqq6uKq+lxVnVtVnxyW+T5aYcY8q2dP/87WxJ8PffPZqjpialvHD+2/UFXHTy3/ieFzc9Hw3Fr9VzpuS/3ur6qbDfMXDesPndrGC4blF1bVw6aW+7ztparav6pOq6p/qaoLqur+PkNrS1X938N33Oer6i3D2NbnaJ0YXcBTVfskeWWShye5V5Ljqupe861qQ3h9kqN3WPb8JB/s7rsn+eAwz+zckOQ53X2vJEclefrw375+WF3XJ3lQd983yWFJjq6qo5K8JMnJ3X23JFcmefIca9wonpXkgql5fbD6fqG7D+vuI4d530cryJhn1e3p39mHJ7n78Hhqklclk0AoyYlJfirJ/ZKcOBV2virJU6aet+PYit1b6nf/k5NcOSw/eWiXoU8fn+THMnn//+cQGvm8rYw/S/K+7r5nkvtm0lc+Q2tEVR2U5JlJjuzue2dyA4DHx+do3RhdwJPJh/yi7v5Sd38nyVuTHDvnmta97v5wJnc6m3ZsklOH6VOTPHpVi9pguntbd58zTF+byR/Mg6IfVlVPXDfM7js8OsmDkpw2LNcPM1ZVByd5ZJK/HOYr+mAt8H20sox5VtEy/s4em+QNw9+FjyXZv6o2J3lYkrO6+xvdfWWSszL5MWBzktt098d6cpeTN8RnZI/s4Xf/dL+dluTBQ/tjk7y1u6/v7i8nuSiTz5rP216qqtsm+blM7pSc7v5Od18Vn6G1ZlOS/apqU5JbJNkWn6N1Y4wBz0FJLpmav3RYxuo7sLu3DdNfTXLgPIvZSIbDIw9Pcnb0w6obfqE4N8nlmQw6vpjkqu6+YWjie2n2/jTJc5N8b5i/Q/TBauskf1dVn6qqpw7LfB+tLGOeOVni39md9c+ull+6yHKWbk+++7/fD8P6q4f2e9pvLN1dknw9yf8aTqP7y6q6ZXyG1ozuvizJS5N8JZNg5+okn4rP0boxxoCHNWhI0XvedWwEVXWrJO9I8uzuvmZ6nX5YHd19Y3cfluTgTH6puOecS9pQquqYJJd396fmXcsG9zPdfUQmh2E/vap+bnql7yPGyt/Ztcl3/yhsSnJEkld19+FJvpkdTtX1GZqv4VS3YzMJ47YkuWWc5raujDHguSzJIVPzBw/LWH1fGw6VzPDv5XOuZ92rqn0zGXS+ubtPHxbrhzkZDjv+UJL7Z3JY8aZhle+l2XpAkl+qqoszOfT3QZmc868PVtHwK2C6+/Ik78wk7PR9tLKMeVbZHv6d3Vn/7Gr5wYssZ2n29Lv/+/0wrL9tkiuy5/3G0l2a5NLuPnuYPy2TwMdnaO34xSRf7u6vd/d3k5yeyWfL52idGGPA84kkdx+u9H3TTC7udMaca9qozkiy/ar2xyd51xxrWfeG811PSXJBd798apV+WEVVdceq2n+Y3i/JQzK5TsOHkjx2aKYfZqi7X9DdB3f3oZn8Dfj77v7V6INVU1W3rKpbb59O8tAkn4/vo5VmzLOKlvF39owkT5zcCKiOSnL1cBrK+5M8tKpuN/xa/tAk7x/WXVNVRw37emJ8RpZsGd/90/322KF9D8sfP9wd6C6ZXKj34/F522vd/dUkl1TVPYZFD05yfnyG1pKvJDmqqm4xvIfb+8jnaJ3YtPsma0t331BVz8jkg79Pktd193lzLmvdq6q3JHlgkgOq6tJMrmz/4iRvr6onJ/nXJI+bX4UbwgOSPCHJ54brvyTJCdEPq21zklOHuwTcJMnbu/s9VXV+krdW1YuSfDrDBQZZVc+LPlgtByZ552RsmE1J/qq731dVn4jvoxVjzLPq9vTv7JlJHpHJxUW/leRJSdLd36iqP8jkf3SS5IXdvf1GFf8tkzuT7pfkvcODvbOz7/5Tkryxqi7K5EYhj0+S7j6vqt6eyf/U3pDk6d19Y5L4vK2I/yvJm4f/uf9SJp+Lm8RnaE3o7rOr6rQk52Ty3/+nk/y/Sf42PkfrQk0COAAAAADGaoynaAEAAAAwRcADAAAAMHICHgAAAICRE/AAAAAAjJyABwAAAGDkBDzAKFTVjVV1blV9pqrOqaqfHpZvGW73CAAwOsY4wEpxm3RgFKrquu6+1TD9sCQndPfPz7ksAIC9YowDrBRH8ABjdJskVyZJVR1aVZ8fpn+9qk6vqvdV1Req6k/mWiUAwJ4xxgGWbdO8CwBYov2q6twkN0+yOcmDdtLusCSHJ7k+yYVV9Rfdfckq1QgAsKeMcYAV4QgeYCy+3d2Hdfc9kxyd5A1VVYu0+2B3X93d/57k/CR3XtUqAQD2jDEOsCIEPMDodPdHkxyQ5I6LrL5+avrGOFIRABgJYxxgbwh4gNGpqnsm2SfJFfOuBQBgpRjjAHtD6guMxfbz05Okkhzf3TcufgQzAMBoGOMAK8Jt0gEAAABGzilaAAAAACMn4AEAAAAYOQEPAAAAwMgJeAAAAABGTsADAAAAMHICHgAAAICRE/AAAAAAjJyABwAAAGDkBDwAAAAAIyfgAQAAABg5AQ8AAADAyAl4AAAAAEZOwAOwTFV1aFV1VW2ady0AAMDGJuAB1o2quriqfnFqXgADAJD/PE4C1h8BD7DHBCYAAMtXVa+vqhftsEwAA+wVAQ+sQ1X1/Kr6YlVdW1XnV9UvV9XNquqqqrr3VLs7VtW3q+qHhvljqurcod0/V9V9ptpeXFXPq6rPJvlmVW1abD9T7fepqpdV1b9V1Zer6hnTR9NU1W2r6pSq2lZVl1XVi6pqn928rrtW1d9X1RXDdt9cVfsP696Y5E5J3l1V11XVc5N8eHjqVcOy+w9tf6OqLqiqK6vq/VV156l9dFX9VlV9YXgfXllVNfWaXjrs+0tJHrlDfU8atnttVX2pqp42te6BVXVpVT2nqi4fXveTptbvN7xf/1pVV1fVR6pqv2HdUUN/XFVVn6mqBy7hPwMAAGADEfDA+vTFJD+b5LZJTkrypiS3T3J6kuOm2j0uyT909+VVdXiS1yV5WpI7JHlNkjOq6mZT7Y/LJNTYv7tvWGw/VbV5aPuUJA9PcliSI5I8eocaX5/khiR3S3J4kocm+c3dvK5K8sdJtiT50SSHJFlIku5+QpKvJHlUd9+qu/8kyc8Nz9t/WPbRqjo2yQlJHpPkjkn+MclbdtjPMUl+Msl9hvfoYVOv6Zih3iOTPHaH510+rL9NkiclObmqjpha/8OZvFcHJXlykldW1e2GdS9N8hNJfjqTvnpuku9V1UFJ/jbJi4blv5PkHVV1x928VwCw4Q0/Tl02/PhyYVU9eMejZ7b/CDM1f3FV/W5Vfbaqvjn8IHVgVb132M4Hpv5+72rff11VXx1+uPlwVf3YsPypSX41yXOHH6DevZMfqnb5I09V/X9V9QdV9U9DXX9XVQdMrX/C8MPRFVX133eo7X5V9dFhu9uq6hVVddOp9Tv9wWtY/5SpH7XO3z7eqfrf7d17uGx3WSf470sOlwDhNtAxJ0ECNIam2zYgIo6oyDXgBaTVhrEltHhtfZRWe0Sk5dAtPeAIeOsBB0EDgogQlGFQCTTq0z0CcgkQCDEBoyEJCc0t3AQT3vljrU2K85x9cvY+tavqt/P5PM96zrpU1frVb9Wq/Z7vulQdrKpXVdVHajrA95M72FzA8epug8Gwz4ck5yd5VJKHJPnAwvz/keTx8/jzkvznw553UZJvmccvTfIDx7Keefy/JfmRhWUPSdJJDiQ5Ocnnk5y4sPxxSd60w/f16CTvXJi+NMlDFqZP31rnwrw/SfLEhembJPlskrvM053kAQvLX5HkyQvv6UcXlj3s8Nc/rH1/lOSn5vEHJvncYW25Osn95zZ8LsnXHOE1fi7JSw6b92dJzl7358pgMBgMhk0ekpyR5LIkB+fp05PcPdNBpl9aeNwDk3xoYfrSJG+e65VT57/X78h0gOcWcz3wtGNY/w8kOSnJzZP8apLzF5Z9WRsW1rtYx5ya5KNJHjnXCg+dp+80L//zTAfbvirJifP0M+dl90ry6UwHu26e5DmZDqw9ZF7+tXMNcmDulwuTPGlh3Z3ktUlulyl4+kiSs+Zl35Pk8kwHwyrTwbq7zG18e5JfTHKzJHdL8sEkD1/3Z8FguLEMzuCBfaiqHl/XX2r1iST/Iskdk7wpyS2r6uur6vRMZ9e8en7aXZL8zNZz5ufdOdPZMlsuO8b1ZH7eZds89y5JbprkyoXn/laSf3ID7+vkqnr5fCTumkxnJt3xaM85grsk+bWF9X4sU3Fy6sJjPrww/tkkt97mPf3dYe17RFW9uao+Nr/2Iw9r30d7OvPp8Ne+Y6aC8QPbtPd7DtsuD0hyyhEeCwBc77pM4ca9quqm3X1pdx/pb+2R/EZ3X9Xdl2c62/ct3f3O7v6HTLXTvW/oBbr7Rd39qe7+fKYzjr+mqm67g/b/mySv6+7XdfcXu/u8JG/LVF9s+Z3u/pvu/lymg1JnzvO/O8lru/sv5/X/xyRfXGjb27v7zd19bXdfmqkO+5bD1v/M7v5Ed/99phpy67V/MMkvd/df9+SS7v67TIHPnbr7P3X3F7r7g0lekOSxO3jPwHFwo1TYZ2q6n8wLkjw4yV9193VVdX6Smsdfkelsmasy/eH/1PzUy5I8o7ufcZSX72NZz/yQK5OctvDcOy+MX5bpDJ47HhZ43JD/Mrfhq7v7Y1X16CS/eaT2bTO9te5ndPdLd7DeLVfmy9/HV26NzJeyvSrJ45P8cXf/Y1X9Ua7vj6P5n0n+IdNRxXcdob0v6e4f2kV7AeBGq7svqaonZQpX/nlV/VmSnz7Gp1+1MP65I0zfOkdR030Fn5HpbJc75fpw5Y5JPnmMbdg6yPMdC/Numils2XJMB6W6+zNV9dGF9n1VprN67pvklpn+X/j2w9a/3WvfOdsflDo4H4zackKmgAxYAWfwwP5zq0zBxkeS6ca/mc6s2fKyJP8607XfL1uY/4IkPzqf3VNVdauq+raqOmmX63lFkp+qqlNruhHyz20t6O4rk7w+ybOr6jZVdZOabqB8+JGjw52U6XTjT9Z0b5r/cNjyqzKdDrzlI5kKqsV5z0/y8wvXwd+2qr7nBta7+J5+sqpOm6+9f/LCsptlOkr4kSTXVtUjMl3CdYO6+4uZ7n/0nPna9ROq6hvm0Oj3knxHVT18nn+Lmu4VcNrRXxUA6O6XdfcDMoUPneRZST6TKdTY8hV7sOr/LddfHn/bTJdBJdcf+DnSQajD520d5LndwnCr7n7mMaz/yw5KVdUtM91jccvzkrw/yT26+zaZ7k94LAelttp1923m/+1h7T2pux95hMcCe0DAA/tMd78vybOT/FWmwOOrM91rZ2v5WzIVNgcz3Y9ma/7bMt1E+DeTfDzJJUmesNv1ZAqMXp/k3UnemeR1ma79vm5e/vhMocj75vW9Mjd82dHTM92w+ZOZbjx87mHL/48kT50vZfrZ7v5spqNn/2Oed//ufnWm4u7l82VeF2S6GfSxeEGm+9+8K9O1+F9a/3wm1E9mCoE+nqmwe80xvm4y3Tz5PUn+OtNlY89KcpPuvixTgfiUTOHRZZmCLd/fAHAUVXVGVT1oPmDyD5nOvPlipnsGPrKq7lBVX5HkSXuw+pMyna380Uxh0n85bPnhB6WONO94DvK8Msm3V9UD5psn/6d8ee1wUpJrkny6qu6Z5MeO9Y0l+e0kP1tVXzsfFPyn85ndb03yqZpubH3i3OZ/UVVft4PXBo5DdR8pPAZYrvmMlud3911u8MEAAMepqv5lpjDinyX5xyT/X5IfznQg5ZxMB3guTfI7SX6mu0+bn3dpkh/s7jfM07+X5JLuPjRP/2CSx3b3Q46y7lsneWmSB83r+4/zOu8xXzp2jyR/mOnMnj/v7kfX9Eufv5Hp1zh/qbt/paq+PskvZzqQdl2mEOXHuvvvq+rPk/xed//2vM4nzO1+wDx9dpL/nOms6+dkOpD3g939hqr65iT/d6bL6d+Z6bKvBy08t7faOk//bqYbUT91nv7RJP8+0z0ML03y/d39zqo6mOkA4LdmOrP5oiRP3epLYG8JeIA9UVUnZvrj/vpMv0LxqiRv7u69OEoGAABwo7avTvGvqkPrbgPbs30235K3UWW6pOrjmY4MXZjpZzNvqA3Pr6pPH2F4/hLbNiT70OazjdgrPlv6INEHW/SDPkj0QaIPtuiH6+2rM3iqqrv7WG8OxorZPpvPNtpsts/ms43YKz5b+iDRB1s2pR+q6vsy/bz44f6uu//5Hq97I/pgnfSBPtiiH64n4GFlbJ/NZxttNttn89lG7BWfLX2Q6IMt+kEfJPog0Qdb9MP1Dqy7ATt11lln9Z/+6Z8ecdnTnva05Mg/OcgGsH02n2202WyfzWcbbZyhij01ztHpA32wRT/og0QfJPpgy420H45Y4wx3Bs9973vfftvb3rbuZgAAm2+ogEeNAwAcoyPWOPvqJssAAAAAN0YCHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABjcgXU3YNOce9GVe/r6jznjlD19fQCAI1HjAMD+5gweAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwa0k4KmqW1TVW6vqXVX13qp6+jz/rlX1lqq6pKr+oKputor2AAAsgxoHANgUqzqD5/NJHtTdX5PkzCRnVdX9kzwryXO7+58m+XiSJ66oPQAAy6DGAQA2wkoCnp58ep686Tx0kgcleeU8/5wkj15FewAAlkGNAwBsipXdg6eqTqiq85NcneS8JB9I8onuvnZ+yIeSnLqq9gAALIMaBwDYBCsLeLr7uu4+M8lpSe6X5J7H+tyqOlRVXVV9xRVX7FkbAYD9Y7F+mIdDe7EeNQ4AsErb1Tgr/xWt7v5Ekjcl+YYkt6uqA/Oi05Jcvs1zDnV3dXcdPHhwRS0FAEa2WD/Mw6E9Xp8aBwDYc9vVOKv6Fa07VdXt5vETkzw0yYWZiqDvnh92dpI/XkV7AACWQY0DAGyKAzf8kKU4Jck5VXVCplDpFd392qp6X5KXV9UvJXlnkheuqD0AAMugxgEANsJKAp7ufneSex9h/gczXasOADAcNQ4AsClWfg8eAAAAAJZLwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMLiVBDxVdeeqelNVva+q3ltVPzXPP1RVl1fV+fPwyFW0BwBgGdQ4AMCmOLCi9Vyb5Ge6+x1VdVKSt1fVefOy53b3r6yoHQAAy6TGAQA2wkoCnu6+MsmV8/inqurCJKeuYt0AAHtFjQMAbIqV34Onqk5Pcu8kb5ln/URVvbuqXlRVt9/mOYeqqquqr7jiihW1FAAY2WL9MA+H9nh9p0eNAwDsse1qnJUGPFV16ySvSvKk7r4myfOS3D3JmZmOfj37SM/r7kPdXd1dBw8eXFl7AYBxLdYP83Bor9alxgEAVmW7GmdlAU9V3TRT4fPS7j53btRV3X1dd38xyQuS3G9V7QEAWAY1DgCwCVb1K1qV5IVJLuzu5yzMP2XhYd+V5IJVtAcAYBnUOADApljVr2h9Y5LvT/Keqjp/nveUJI+rqjOTdJJLk/zIitoDALAMahwAYCOs6le0/nuSOsKi161i/QAAe0GNAwBsipX/ihYAAAAAyyXgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAY3EoCnqq6c1W9qareV1XvraqfmuffoarOq6qL539vv4r2AAAsgxoHANgUqzqD59okP9Pd90py/yQ/XlX3SvLkJG/s7nskeeM8DQAwCjUOALARVhLwdPeV3f2OefxTSS5McmqSRyU5Z37YOUkevYr2AAAsgxoHANgUK78HT1WdnuTeSd6S5OTuvnJe9OEkJ2/znENV1VXVV1xxxUraCQCMbbF+mIdDe7y+06PGAQD22HY1zkoDnqq6dZJXJXlSd1+zuKy7O0kf6Xndfai7q7vr4MGDK2gpADC6xfphHg7t1brUOADAqmxX46ws4Kmqm2YqfF7a3efOs6+qqlPm5ackuXpV7QEAWAY1DgCwCVb1K1qV5IVJLuzu5ywsek2Ss+fxs5P88SraAwCwDGocAGBTHFjRer4xyfcneU9VnT/PTuE7xgAAF7RJREFUe0qSZyZ5RVU9McnfJfneFbUHAGAZ1DgAwEZYScDT3f89SW2z+MGraAMAwLKpcQCATbHyX9ECAAAAYLkEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIPbccBTVV+9Fw0BAFgnNQ4AMLLdnMHzf1XVW6vq31XVbZfeIgCA9VDjAADD2nHA093flOT7ktw5ydur6mVV9dCltwwAYIXUOADAyHZ1D57uvjjJU5P8XJJvSfLrVfX+qnrMMhsHALBKahwAYFS7uQfPv6yq5ya5MMmDknxHd/+zefy5S24fAMBKqHEAgJEd2MVzfiPJbyd5Snd/bmtmd19RVU9dWssAAFZLjQMADGs3Ac+3Jflcd1+XJFV1kyS36O7PdvdLlto6AIDVUeMAAMPazT143pDkxIXpW87zAABGpsYBAIa1m4DnFt396a2JefyWy2sSAMBaqHEAgGHtJuD5TFXdZ2uiqr42yeeO8ngAgBGocQCAYe3mHjxPSvKHVXVFkkryFUn+9VJbBQCwemocAGBYOw54uvuvq+qeSc6YZ13U3f+43GYBAKyWGgcAGNluzuBJkq9Lcvr8/PtUVbr7xUtrFQDAeqhxAIAh7TjgqaqXJLl7kvOTXDfP7iSKHwBgWGocAGBkuzmD575J7tXdvezGAACskRoHABjWbn5F64JMNx0EANhP1DgAwLB2cwbPHZO8r6remuTzWzO7+zuX1ioAgNVT4wAAw9pNwHNo2Y0AANgAh9bdAACA3drNz6T/RVXdJck9uvsNVXXLJCcsv2kAAKujxgEARrbje/BU1Q8leWWS35pnnZrkj5bZKACAVVPjAAAj281Nln88yTcmuSZJuvviJP9kmY0CAFgDNQ4AMKzdBDyf7+4vbE1U1YEkfk4UABidGgcAGNZuAp6/qKqnJDmxqh6a5A+T/D/LbRYAwMqpcQCAYe0m4Hlyko8keU+SH0nyuiRPXWajAADWQI0DAAxrN7+i9cUkL5gHAIB9QY0DAIxsxwFPVf1tjnA9enffbSktAgBYAzUOADCyHQc8Se67MH6LJN+T5A7LaQ4AwNqocQCAYe34Hjzd/dGF4fLu/tUk37YHbQMAWBk1DgAwst1conWfhcmbZDratZszgQAANoYaBwAY2W6KlmcvjF+b5NIk37uU1gAArI8aBwAY1m5+Retb96IhAADrpMYBAEa2m0u0fvpoy7v7ObtvDgDAeqhxAICR7fZXtL4uyWvm6e9I8tYkFy+rUQAAa6DGAQCGtZuA57Qk9+nuTyVJVR1K8v92979ZZsMAAFZMjQMADGvHP5Oe5OQkX1iY/sI8DwBgZGocAGBYuzmD58VJ3lpVr56nH53knOU1CQBgLdQ4AMCwdvMrWs+oqj9J8k3zrH/b3e9cbrMAAFZLjQMAjGw3l2glyS2TXNPdv5bkQ1V11yW2CQBgXdQ4AMCQdhzwVNXTkvxckp+fZ900ye8ts1EAAKumxgEARrabM3i+K8l3JvlMknT3FUlOWmajAADWQI0DAAxrNwHPF7q7k3SSVNWtjuVJVfWiqrq6qi5YmHeoqi6vqvPn4ZG7aA8AwDKocQCAYe0m4HlFVf1WkttV1Q8leUOSFxzD8343yVlHmP/c7j5zHl63i/YAACyDGgcAGNZufkXrV6rqoUmuSXJGkl/s7vOO4Xl/WVWn77iFAAAroMYBAEa2ozN4quqEqnpTd5/X3f+hu3/2WAqfG/ATVfXu+fTm22+z3kNV1VXVV1xxxXGuDgC4MVisH+bh0FEeq8YBAIawXY2zo4Cnu69L8sWquu2S2vW8JHdPcmaSK5M8e5v1Huru6u46ePDgklYNAOxni/XDPBw6ymPVOADAELarcXZ8iVaSTyd5T1Wdl/lXJuYV/OQuGnXV1nhVvSDJa3fRHgCAZVDjAADD2k3Ac+48HLeqOqW7r5wnvyvJBUd7PADAHlLjAADDOuaAp6q+srv/vrvP2c2Kqur3kzwwyR2r6kNJnpbkgVV1ZqafI700yY/s5rUBAHZLjQMA7Ac7OYPnj5LcJ0mq6lXd/a92sqLuftwRZr9wJ68BALAH1DgAwPB2cpPlWhi/27IbAgCwJmocAGB4Owl4eptxAICRqXEAgOHt5BKtr6mqazId5TpxHs883d19m6W3DgBg76lxAIDhHXPA090n7GVDAADWQY0DAOwHO7lECwAAAIANJOABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAY3MoCnqp6UVVdXVUXLMy7Q1WdV1UXz//eflXtAQBYBjUOALAJVnkGz+8mOeuweU9O8sbuvkeSN87TAAAj+d2ocQCANVtZwNPdf5nkY4fNflSSc+bxc5I8elXtAQBYBjUOALAJDqx5/Sd395Xz+IeTnHykB1XVoSRPS5JTTjllNS3bI+dedOUNP+g4POaMsfsHAJZlsX6YPb27D61o9WqcJVPjAMBkuxpnY26y3N2dpLdZdqi7q7vr4MGDK24ZADCixfphHg6tqR1qHABgabarcdYd8FxVVackyfzv1WtuDwDAMqhxAICVWnfA85okZ8/jZyf54zW2BQBgWdQ4AMBKrfJn0n8/yV8lOaOqPlRVT0zyzCQPraqLkzxkngYAGIYaBwDYBCu7yXJ3P26bRQ9eVRsAAJZNjQMAbIJ1X6IFAAAAwHES8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADO7AuhuQJFV1aZJPJbkuybXdfd/1tggA4PipcQCAVdmIgGf2rd39P9fdCACAJVPjAAB7ziVaAAAAAIPblICnk7y+qt5eVT98+MKqOlRVXVV9xRVXrKF5AMBoFuuHeTi0hmaocQCApdquxtmUgOcB3X2fJI9I8uNV9c2LC7v7UHdXd9fBgwfX00IAYCiL9cM8HFpDM9Q4AMBSbVfjbETA092Xz/9eneTVSe633hYBABw/NQ4AsCprD3iq6lZVddLWeJKHJblgva0CADg+ahwAYJU24Ve0Tk7y6qpKpva8rLv/dL1NAgA4bmocAGBl1h7wdPcHk3zNutsBALBMahwAYJXWfokWAAAAAMdHwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAOrLsBLNe5F125p6//mDNO2bPXHrntAMDeGrlOGLntAIzDGTwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAM7sC6GwCrcu5FV667CRvtMWecsu4mABtmr783fe/Acqhxjs53DXC4/VrjOIMHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGtxEBT1WdVVUXVdUlVfXkdbcHAGAZ1DgAwKqsPeCpqhOS/Nckj0hyrySPq6p7rbdVAADHR40DAKzS2gOeJPdLckl3f7C7v5Dk5UketeY2AQAcLzUOALAyB9bdgCSnJrlsYfpDSb5+8QFVdSjJ0+bJz1bVhdu81sEkVyy7gSyN7bP5bKPNZvtsPttos1yS5O4L00/v7kMrXL8aZ7n0gT7Yoh/0QaIPEn2w5cbYD0escTYh4LlBczF26IYeV1Xd3Qf3vEHsiu2z+WyjzWb7bD7biJ1S4xw7faAPtugHfZDog0QfbNEP19uES7QuT3LnhenT5nkAACNT4wAAK7MJAc9fJ7lHVd21qm6W5LFJXrPmNgEAHC81DgCwMmu/RKu7r62qn0jyZ0lOSPKi7n7vLl/u6ctrGXvA9tl8ttFms302n23El6hxlk4f6IMt+kEfJPog0Qdb9MOsunvdbQAAAADgOGzCJVoAAAAAHAcBDwAAAMDg9kXAU1VnVdVFVXVJVT153e3Zz6rqzlX1pqp6X1W9t6p+ap5/h6o6r6ounv+9/Ty/qurX523z7qq6z8JrnT0//uKqOnth/tdW1Xvm5/x6VdXq3+nYquqEqnpnVb12nr5rVb1l7tM/mG/2maq6+Tx9ybz89IXX+Pl5/kVV9fCF+fa341RVt6uqV1bV+6vqwqr6BvvQZqmqfz9/x11QVb9fVbewH7EO++GzcpTa4VBVXV5V58/DIxees6N9Zzf756pV1aXzd/P5VfW2ed6ef/dvt451qKozFrb3+VV1TVU9ab9/FqrqRVV1dVVdsDBvbdv+aOtYcR/8nzXVQu+uqldX1e3m+adX1ecWPg/P34v3ul1/rqEf1vr5324dK+6DP1h4/5dW1fnz/H37Wdgz3T30kOmmhR9IcrckN0vyriT3Wne79uuQ5JQk95nHT0ryN0nuleSXkzx5nv/kJM+axx+Z5E+SVJL7J3nLPP8OST44/3v7efz287K3zo+t+bmPWPf7Hm1I8tNJXpbktfP0K5I8dh5/fpIfm8f/XZLnz+OPTfIH8/i95n3p5knuOu9jJ9jflrZ9zknyg/P4zZLczj60OUOSU5P8bZIT5+lXJHmC/ciw6mG/fFayfe1wKMnPHuHxO953drp/rqkfLk1yx8Pm7fl3/3brWPcwb88PJ7nLfv8sJPnmJPdJcsEmbPvt1rGGPnhYkgPz+LMW2nf64uMOe52lvNej9eca+mFtn//t1rHqPjhs+bOT/OJ+/yzs1bAfzuC5X5JLuvuD3f2FJC9P8qg1t2nf6u4ru/sd8/inklyY6T9Dj8r0n9bM/z56Hn9Ukhf35M1JbldVpyR5eJLzuvtj3f3xJOclOWtedpvufnNPe9yLF16LY1BVpyX5tiS/PU9XkgcleeX8kMO3z9Z2e2WSB8+Pf1SSl3f357v7b5Nckmlfs78dp6q6baY/bC9Mku7+Qnd/IvahTXMgyYlVdSDJLZNcGfsRq7cvPitHqR22s6N9Z5d/5zbFKr77t1vHuj04yQe6+++O8ph98Vno7r9M8rHDZq9z22+3jj1zpD7o7td397Xz5JuTnHa011jyez1ifx7XmzwG23wWtrOKz/9269gzR+uDuU3fm+T3j/Ya++GzsFf2Q8BzapLLFqY/lKMXDSzJfGrfvZO8JcnJ3X3lvOjDSU6ex7fbPkeb/6EjzOfY/WqS/z3JF+fp/yXJJxb+gC726Ze2w7z8k/Pjd7rdOHZ3TfKRJL9T02V0v11Vt4p9aGN09+VJfiXJ32cKdj6Z5O2xH7F6++6zcljtkCQ/MZ8q/6K6/tKhne47u/k7tw6d5PVV9faq+uF53iq++7dbx7o9Nl/+n7gb02chWe+238Tvlh/IdHbFlrvOddJfVNU3zfOW+V43rQ/W9fnftH74piRXdffFC/NubJ+F47IfAh7WoKpuneRVSZ7U3dcsLptT1F5Lw27kqurbk1zd3W9fd1vY1oFMp6U+r7vvneQzmU4f/RL70HrNhdWjMoVxB5PcKgMfyYFNcYTa4XlJ7p7kzExh6rPX2LxVeEB33yfJI5L8eFV98+LCVXz3b8rfl/m+IN+Z5A/nWTe2z8KXuTFt+yOpql9Icm2Sl86zrkzylXOd9NNJXlZVtznW19vk97qNG/Xn/zCPy5cHvze2z8Jx2w8Bz+VJ7rwwfdo8jz1SVTfNVKC9tLvPnWdftXVq5/zv1fP87bbP0eafdoT5HJtvTPKdVXVpptM1H5Tk1zKdgnhgfsxin35pO8zLb5vko9n5duPYfSjJh7p76+j1KzMFPvahzfGQJH/b3R/p7n9Mcm6mfct+xKrtm8/KkWqH7r6qu6/r7i8meUGuvyxgp/vOR7Pz/XPl5rMD091XJ3l1pve7iu/+7daxTo9I8o7uviq58X0WZuvc9hvz3VJVT0jy7Um+b/7PeObLhT46j789031hvirLfa8b0wdr/vxvTD/M7XpMkj/Ymndj+ywsw34IeP46yT1qumP4zTKd7vmaNbdp35qvi3xhkgu7+zkLi16TZOuO42cn+eOF+Y+f71p+/ySfnE+Z+7MkD6uq289Hyx+W5M/mZddU1f3ndT1+4bW4Ad398919Wnefnmlf+G/d/X1J3pTku+eHHb59trbbd8+P73n+Y2u64/5dk9wj043M7G/Hqbs/nOSyqjpjnvXgJO+LfWiT/H2S+1fVLec+3NpG9iNWbV98VrarHQ6758d3Jdn6RZUd7Tvz/rbT/XOlqupWVXXS1nim7+wLsprv/u3WsU5fdpT+xvRZWLDObb/dOlaqqs7KdFuB7+zuzy7Mv1NVnTCP3y3Tdv/gkt/rEftzL9/vdtb8+d9uHevwkCTv7+4vXXp1Y/ssLEVvwJ2ej3fIdEfsv8mU6P3Cutuzn4ckD8h0mtu7k5w/D4/MdA3nG5NcnOQNSe4wP76S/Nd527wnyX0XXusHMt3I65Ik/3Zh/n0zfbF9IMlvJql1v+8RhyQPzPW/onW3TF/Wl2Q6Hfrm8/xbzNOXzMvvtvD8X5i3wUVZ+BUm+9tSts2ZSd4270d/lOmO/fahDRqSPD3J++d+fEmmX5ewHxlWPuyHz8pRaoeXzN9r785UeJ+y8Jwd7Tu72T9X3Ad3y/RLNe9K8t6ttq/iu3+7dazx83CrTGcO3HZh3r7+LGQKs65M8o+ZzuR94jq3/dHWseI+uCTTvU+2vhe2fuXpX837yflJ3pHkO/bivW7Xn2voh7V+/rdbxyr7YJ7/u0l+9LDH7tvPwl4NW50AAAAAwKD2wyVaAAAAADdqAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHmAIVXVdVZ1fVe+qqndU1f86zz9YVa9cd/sAAHZDjQMsi59JB4ZQVZ/u7lvP4w9P8pTu/pY1NwsA4LiocYBlcQYPMKLbJPl4klTV6VV1wTz+hKo6t6r+tKourqpfXmsrAQB2Ro0D7NqBdTcA4BidWFXnJ7lFklOSPGibx52Z5N5JPp/koqr6je6+bEVtBADYKTUOsBTO4AFG8bnuPrO775nkrCQvrqo6wuPe2N2f7O5/SPK+JHdZaSsBAHZGjQMshYAHGE53/1WSOya50xEWf35h/Lo4UxEAGIQaBzgeAh5gOFV1zyQnJPnoutsCALAsahzgeEh9gVFsXZ+eJJXk7O6+7shnMAMADEONAyyFn0kHAAAAGJxLtAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHD/P87+4FgJnc1SAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_distributions(\"attendances_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_distributions(\"players_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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AAADAPmdhAU93vz9JXcsypyQ5ZVE1AAAAAGwG6/IULQAAAAAWR8ADAAAAMDgBDwAAAMDgBDwAAGuoqvarqo9V1duWXQsAsHkIeAAA1taTkpyz7CIAgM1FwAMAsEaq6tAkD0jyimXXAgBsLgt7TDoAwCb0wiS/m+TAXS1QVStJTkqSrVu3rk9VwHBOP/eSZZewqT3kKMdnNq75XmJycnevOIMHAGANVNXxSS7t7o/sbrnuXunu6u7atm3bOlUHAOwr5nuJ6bWSuEQLAGCt3D3Jg6rq/CRvTHLvqnrdcksCADYLAQ8AwBro7qd396HdfUSSE5L8XXc/fMllAQCbhIAHAAAAYHBusgwAsMa6+++T/P2SywAANhFn8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMLiFBTxVdVhVvaeqzq6qT1fVk3ayTFXVi6vqvKr6RFUds6h6AAAAAPZVWxb42VcneUp3f7SqDkzykap6V3efPbfM/ZLcfnrdNcmfTv8CAAAAsEoLO4Onuy/p7o9Ow5cnOSfJITss9uAkr+mZDyQ5qKq2LqomAAAAgH3RIs/g+TdVdUSSo5OcucOsQ5JcMDd+4TTtkh3ev5LkpCTZunXs/Of0cy+59oU2MPUvl/r3baNvH/Uv1+j1L9p8LzE5ubtXllMNAMDaW/hNlqvqgCRvSfLk7r7sunxGd690d3V3bdu2bW0LBAD2efO9xPRaWXZNAABraaEBT1Xtn1m48+fdffpOFrkoyWFz44dO0wAAAABYpUU+RauSvDLJOd39/F0sdkaSR05P07pbkm91t3PMAQAAAPbAIu/Bc/ckj0jyyao6a5r2jCS3SZLufmmStye5f5LzknwnyWMWWA8AAADAPmlhAU93vz9JXcsyneQJi6oBAAAAYDNY+E2WAQAAAFgsAQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AABroKpuWFUfrKqPV9Wnq+rkZdcEAGweW5ZdAADAPuKqJPfu7iuqav8k76+qd3T3B5ZdGACw7xPwAACsge7uJFdMo/tPr15eRQDAZiLgAQBYI1W1X5KPJDkyyZ9095k7WWYlyUlJsnXr1nWtj33L6edestDPf8hRfj/ZvPz3tXu2z3LN9xKTk7t7xT14AADWSHdf0913TnJokmOr6o47WWalu6u7a9u2betfJAAwtPleYnqtJG6yDACw5rr7m0nek+S4ZdcCAGwOqwp4quonFl0IAMBGsqf9T1XdsqoOmoZvlOS+ST6ziNoAAHa02jN4/p/psZ//a1XdbKEVAQBsDHva/2xN8p6q+kSSDyV5V3e/bbElAgDMrOomy939s1V1+yT/c5KPVNUHk/xZd79rodUBACzJnvY/3f2JJEevZ40AANut+h483f3ZJM9M8tQkP5/kxVX1map6yKKKAwBYJv0PADCK1d6D5yer6gVJzkly7yQP7O4fn4ZfsMD6AACWQv8DAIxkVZdoJXlJklckeUZ3X7l9YndfXFXPXEhlAADLpf8BAIax2oDnAUmu7O5rkqSqrpfkht39ne5+7cKqAwBYHv0PADCM1d6D591JbjQ3fuNpGgDAvkr/AwAMY7UBzw27+4rtI9PwjRdTEgDAhqD/AQCGsdqA59tVdcz2kar6qSRX7mZ5AIDR6X8AgGGs9h48T07yF1V1cZJK8iNJHrawqgAAlk//AwAMY1UBT3d/qKp+LMlR06Rzu/t7iysLAGC59D8AwEhWewZPkvx0kiOm9xxTVenu1yykKgCAjUH/AwAMYVUBT1W9NsmPJjkryTXT5E6iwQEA9kn6HwBgJKs9g+cuSe7Q3b3IYgAANhD9DwAwjNU+RetTmd1YEABgs9D/AADDWO0ZPAcnObuqPpjkqu0Tu/tBC6kKAGD59D8AwDBWG/CsLLIIAIANaGXZBQAArNZqH5P+D1V1eJLbd/e7q+rGSfZbbGkAAMuj/wEARrKqe/BU1eOTnJbkZdOkQ5L85aKKAgBYNv0PADCS1d5k+QlJ7p7ksiTp7s8mudWiigIA2AD0PwDAMFYb8FzV3d/dPlJVW5J4ZCgAsC/T/wAAw1htwPMPVfWMJDeqqvsm+Yskf7W4sgAAlk7/AwAMY7UBz9OSfCXJJ5P8ZpK3J3nmoooCANgA9D8AwDBW+xSt7yd5+fQCANjn6X8AgJGsKuCpqi9kJ9ecd/ft1rwiAIANQP8DAIxkVQFPkrvMDd8wya8mufnalwMAsGHofwCAYazqHjzd/bW510Xd/cIkD1hwbQAAS6P/AQBGstpLtI6ZG71eZt9orfbsHwCA4eh/AICRrLZJed7c8NVJzk/ya7t7Q1W9KsnxSS7t7jvuZP49k/z3JF+YJp3e3c9eZT0AAIu2x/0PAMCyrPYpWve6Dp/96iSnJHnNbpZ5X3cffx0+GwBgoa5j/wMAsBSrvUTrv+5ufnc/fyfT3ltVR1y3sgAAluu69D8AAMuyJ0/R+ukkZ0zjD0zywSSf3cv1/0xVfTzJxUl+p7s/vZefBwCwVhbV/wAArLnVBjyHJjmmuy9PkqpaSfLX3f3wvVj3R5Mc3t1XVNX9k/xlktvvbMFpfSclydatW/dilQDAZjTfS0xO7u6Va3nbIvofAICFWNVj0pPcOsl358a/O027zrr7su6+Yhp+e5L9q+rgXSy70t3V3bVt27a9WS0AsAnN9xLTa2UVb1vz/gcAYFFWewbPa5J8sKreOo3/cpJT92bFVfUjSb7c3V1Vx2YWNn1tbz4TAGANrXn/AwCwKKt9itZzquodSX52mvSY7v7Y7t5TVW9Ics8kB1fVhZmdFr3/9HkvTfLQJL9VVVcnuTLJCd3d1+mnAABYY9el/wEAWJbVnsGTJDdOcll3/1lV3bKqbtvdX9jVwt194u4+rLtPyewx6gAAG9Ue9T8AAMuyqnvwVNVJSZ6a5OnTpP2TvG5RRQEALJv+BwAYyWpvsvwrSR6U5NtJ0t0XJzlwUUUBAGwA+h8AYBirDXi+O90fp5Okqm6yuJIAADYE/Q8AMIzVBjxvrqqXJTmoqh6f5N1JXr64sgAAlk7/AwAMY7VP0frjqrpvksuSHJXkWd39roVWBgCwRPofAGAk1xrwVNV+Sd7d3fdKoqkBAPZ5+h8AYDTXeolWd1+T5PtVdbN1qAcAYOn0PwDAaFZ1iVaSK5J8sqrelelJEknS3b+9kKoAAJZP/wMADGO1Ac/p0wsAYLPQ/wAAw9htwFNVt+nuL3X3qetVEADAMul/AIARXds9eP5y+0BVvWXBtQAAbAT6HwBgONcW8NTc8O0WWQgAwAah/wEAhnNtAU/vYhgAYF+l/wEAhnNtN1m+U1Vdltk3WTeahjONd3ffdKHVAQCsP/0PADCc3QY83b3fehUCALAR6H8AgBFd2yVaAAAAAGxwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwBgDVTVYVX1nqo6u6o+XVVPWnZNAMDmsWXZBQAA7COuTvKU7v5oVR2Y5CNV9a7uPnvZhQEA+z5n8AAArIHuvqS7PzoNX57knCSHLLcqAGCzcAYPAMAaq6ojkhyd5MydzFtJclKSbN26dT3LGs7p516y7BJYoEXv34cctdj/vvx+Assy30tMTu7uFWfwAACsoao6IMlbkjy5uy/bcX53r3R3dXdt27Zt/QsEAIY230tMr5XEJVoAAGumqvbPLNz58+4+fdn1AACbh4AHAGANVFUleWWSc7r7+cuuBwDYXAQ8AABr4+5JHpHk3lV11vS6/7KLAgA2BzdZBgBYA939/iS17DoAgM3JGTwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxuYQFPVb2qqi6tqk/tYn5V1Yur6ryq+kRVHbOoWgAAAAD2ZYs8g+fVSY7bzfz7Jbn99PqNJH+6wFoAAAAA9lkLC3i6+71Jvr6bRR6c5DU984EkB1XV1kXVAwAAALCvWuY9eA5JcsHc+IXTtH+nqlaqqquqL7744nUpDgDYd8z3EtNrZdk1AQCspSFustzdK91d3V3btm1bdjkAwGDme4nptbLsmgAA1tIyA56Lkhw2N37oNA0AAACAPbDMgOeMJI+cnqZ1tyTf6u5LllgPAAAAwJC2LOqDq+oNSe6Z5OCqujDJSUn2T5LufmmStye5f5LzknwnyWMWVQsAAADAvmxhAU93n3gt8zvJExa1fgAAAIDNYoibLAMAAACwawIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAA1khVvaqqLq2qTy27FgBgcxHwAACsnVcnOW7ZRQAAm4+ABwBgjXT3e5N8fdl1AACbz5ZlFwAAsJlU1UqSk5Jk69atyy0GduP0cy9Zdgl7ZfT6YW+M/vs/ev0POWqxf9/ne4nJyd294gweAIB11N0r3V3dXdu2bVt2OQDAYOZ7iem1krhECwAAAGB4Ah4AAACAwQl4AADWSFW9Ick/Jzmqqi6sqscuuyYAYHNwk2UAgDXS3ScuuwYAYHNyBg8AAADA4AQ8AAAAAINbaMBTVcdV1blVdV5VPW0n8x9dVV+pqrOm1+MWWQ8AAADAvmhh9+Cpqv2S/EmS+ya5MMmHquqM7j57h0Xf1N1PXFQdAAAAAPu6RZ7Bc2yS87r789393SRvTPLgBa4PAAAAYFNaZMBzSJIL5sYvnKbt6D9X1Seq6rSqOmyB9QAAAADsk5Z9k+W/SnJEd/9kknclOXVnC1XVSlV1VfXFF1+8rgUCAOOb7yWm18qyawIAWEuLDHguSjJ/Rs6h07R/091f6+6rptFXJPmpnX1Qd690d3V3bdu2bSHFAgD7rvleYnqtLLsmAIC1tMiA50NJbl9Vt62q6yc5IckZ8wtU1da50QclOWeB9QAAAADskxb2FK3uvrqqnpjkfyTZL8mruvvTVfXsJB/u7jOS/HZVPSjJ1Um+nuTRi6oHAAAAYF+1sIAnSbr77UnevsO0Z80NPz3J0xdZAwAAAMC+btk3WQYAAABgLwl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAABsOQ/sAACAASURBVGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAa30ICnqo6rqnOr6ryqetpO5t+gqt40zT+zqo5YZD0AAIt0bb0PAMCiLCzgqar9kvxJkvsluUOSE6vqDjss9tgk3+juI5O8IMkfLqoeAIBFWmXvAwCwEIs8g+fYJOd19+e7+7tJ3pjkwTss8+Akp07DpyW5T1XVAmsCAFiU1fQ+AAALsWWBn31Ikgvmxi9MctddLdPdV1fVt5LcIslX5xeqqpUkJ02j36mqc5JsS3Lx2pfNHrIfNgb7YWOwHzYG+2Fj2Gj74bwkPzo3fnJ3r6zxOlbT++yqr9loNtr+21fZzuvDdl4ftvP6sJ3Xx0bfzjvtaxYZ8KyZqQFbmZ9WVd3d25ZSEP/GftgY7IeNwX7YGOyHjcF+2LWd9TUbjf23Pmzn9WE7rw/beX3Yzutj1O28yEu0Lkpy2Nz4odO0nS5TVVuS3CzJ1xZYEwDAoqym9wEAWIhFBjwfSnL7qrptVV0/yQlJzthhmTOSPGoafmiSv+vuXmBNAACLspreBwBgIRZ2idZ0T50nJvkfSfZL8qru/nRVPTvJh7v7jCSvTPLaqjovydcza4RW6+Q1L5rrwn7YGOyHjcF+2Bjsh41h0+2HXfU+Sy7rutp0+29JbOf1YTuvD9t5fdjO62PI7VxOmAEAAAAY2yIv0QIAAABgHQh4AAAAAAY3ZMBTVcdV1blVdV5VPW3Z9WwWVfWqqrq0qj41N+3mVfWuqvrs9O9/WGaNm0FVHVZV76mqs6vq01X1pGm6fbGOquqGVfXBqvr4tB9OnqbftqrOnI5Pb5putMoCVdV+VfWxqnrbNG4frLOqOr+qPllVZ1XVh6dpjkmDcDxbP45X68MxaX1U1UFVdVpVfaaqzqmqn7Gd11ZVHTX9Hm9/XVZVT7ad115V/e/T38BPVdUbpr+Nwx2jhwt4qmq/JH+S5H5J7pDkxKq6w3Kr2jReneS4HaY9Lcnfdvftk/ztNM5iXZ3kKd19hyR3S/KE6b8B+2J9XZXk3t19pyR3TnJcVd0tyR8meUF3H5nkG0keu8QaN4snJTlnbtw+WI57dfedu/su07hj0jgcz9aP49X6cUxavBcleWd3/1iSO2X2u207r6HuPnf6Pb5zkp9K8p0kb43tvKaq6pAkv53kLt19x8welHBCBjxGDxfwJDk2yXnd/fnu/m6SNyZ58JJr2hS6+72ZPe1s3oOTnDoNn5rkl9e1qE2ouy/p7o9Ow5dn9sf0kNgX66pnrphG959eneTeSU6bptsPC1ZVhyZ5QJJXTOMV+2CjcEwahOPZ+nC8WjrHpDVUVTdL8nOZPRU53f3d7v5mbOdFuk+Sz3X3F2M7L8KWJDeqqi1Jbpzkkgx4jB4x4DkkyQVz4xdO01iOW3f3JdPwvyS59TKL2Wyq6ogkRyc5M/bFuptOtT8ryaVJ3pXkc0m+2d1XT4s4Pi3eC5P8bpLvT+O3iH2wDJ3kb6rqI1X1G9M0x6SBOJ6tC8er9eOYtHi3TfKVJH82XXb4iqq6SWznRTohyRumYdt5DXX3RUn+OMmXMgt2vpXkIxnwGD1iwMMG1d2d2R9U1kFVHZDkLUme3N2Xzc+zL9ZHd18znTJ7aGZnF/7YkkvaVKrq+CSXdvdHll0LuUd3H5PZ5dNPqKqfm5/pmLTxOZ4tluPVunNMWrwtSY5J8qfdfXSSb2eHy4Rs57Uz3fvlQUn+Ysd5tvPem+5h9ODMgsttSW6Sf39rkiGMGPBclOSwufFDp2ksx5eramuSTP9euuR6NoWq2j+zcOfPu/v0abJ9sSTTKcnvSfIzSQ6aTu1MHJ8W7e5JHlRV52d2ue69M7sfgH2wzqZvvtLdl2Z2b4Bj45g0JMezhXG8WkeOSeviwiQXdveZ0/hpmQU+tvNi3C/JR7v7y9O47by2fiHJF7r7K939vSSnZ3bcHu4YPWLA86Ekt5/uaH39zE5VO2PJNW1mZyR51DT8qCT/fYm1bArTNfuvTHJOdz9/bpZ9sY6q6pZVddA0fKMk983sfkjvSfLQaTH7YYG6++ndfWh3H5HZ34K/6+5fj32wrqrqJlV14PbhJL+Y5FNxTBqG49niOV6tH8ek9dHd/5Lkgqo6app0nyRnx3ZelBPzg8uzEtt5rX0pyd2q6sbT/2tt/30e7hhdszO6xlJV98/sOub9kryqu5+z5JI2hap6Q5J7Jjk4yZeTnJTkL5O8Ocltknwxya919443YmYNVdU9krwvySfzg+v4n5HZfXjsi3VSVT+Z2c3W9sssLH9zdz+7qm6X2bezN0/ysSQP7+6rllfp5lBV90zyO919vH2wvqbt/dZpdEuS13f3c6rqFnFMGoLj2fpyvFosx6T1U1V3zuym4ddP8vkkj8l0DIntvGamoPJLSW7X3d+apvl9XmNVdXKSh2X2xOKPJXlcZvfcGeoYPWTAAwAAAMAPjHiJFgAAAABzBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPMBQquqaqjqrqj5eVR+tqv9pmr6tqk5bdn0AAKulrwHWksekA0Opqiu6+4Bp+JeSPKO7f37JZQEA7DF9DbCWnMEDjOymSb6RJFV1RFV9ahp+dFWdXlXvrKrPVtUfLbVKAIBrp68B9sqWZRcAsIduVFVnJblhkq1J7r2L5e6c5OgkVyU5t6pe0t0XrFONAACroa8B1owzeIDRXNndd+7uH0tyXJLXVFXtZLm/7e5vdfe/Jjk7yeHrWiUAwLXT1wBrRsADDKu7/znJwUluuZPZV80NXxNnLAIAG5i+BthbAh5gWFX1Y0n2S/K1ZdcCALA39DXA3pL8AqPZfq16klSSR3X3NTs/mxkAYEPT1wBrxmPSAQAAAAbnEi0AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh6APVBVt6mqK6pqv90sc0VV3W496wIASJKq+nRV3XM3899RVY9ax5KAdVLdvewaAIZVVX+f5HXd/Ypl1wIAMK+qVpIc2d0PX3YtwOI5gwdYuKrasuwaAAAA9mUCHiBV9bSq+lxVXV5VZ1fVr1TVDarqm1V1x7nlbllVV1bVrabx46vqrGm5f6qqn5xb9vyqempVfSLJt6tqy87WM7f8flX1vKr6alV9oaqeWFW9PRyqqptV1Sur6pKquqiqfn93l0lN73l0Vf1jVZ1SVd+qqs9U1X3m5m+rqjOq6utVdV5VPX5u3rFV9eGquqyqvlxVz5+mH7G9rqp6TpKfTXLKdFnWKdMyXVVHztX9mqr6SlV9saqeWVXXm6vv/VX1x1X1jennvt9e7EoAYA9N/cpFU39yblXdp6peXVW/P7fMPavqwrnx86vq/6iqT1TVt6ce5dbT5U+XV9W7q+o/XMt6t/cUv1FVF089zu/Mzb9BVb1wmnfxNHyDad7BVfW2qQf7elW9b66/OL+qfqGqjkvyjCQPm/qUj0/z/76qHjcNX2/qTb5YVZdOPcvNdqjvUVX1palH+7212/LAWhPwAEnyucyCipslOTnJ65LcPMnpSU6cW+7XkvxDd19aVUcneVWS30xyiyQvS3LG9sZjcmKSByQ5qLuv3tl6qmrrtOzjk9wvyZ2THJPkl3eo8dVJrk5yZJKjk/xikset4me767Teg5OclOT0qrr5NO+NSS5Msi3JQ5M8t6ruPc17UZIXdfdNk/xokjfv+MHd/XtJ3pfkid19QHc/cSfrf8n0894uyc8neWSSx+xQ37lTfX+U5JVVVav4uQCAvVRVRyV5YpKf7u4Dk/xSkvNX+fb/nOS+Sf5jkgcmeUdmgcotM/v/rN9e5efcK8ntM+ttnlpVvzBN/70kd8usN7pTkmOTPHOa95TMephbJrn1tN4fuvdGd78zyXOTvGnqU+60k3U/enrdK7Ne5YAkp+ywzD2SHJXkPkmeVVU/vsqfC1hnAh4g3f0X3X1xd3+/u9+U5LOZNRGvT3LC3KL/ZZqWJL+R5GXdfWZ3X9Pdpya5KrNGZLsXd/cF3X3ltawnmYVHL+ruC7v7G0n+YPuHVNWtk9w/yZO7+9vdfWmSF+xQ265cmuSF3f29aZ3nJnlAVR2W5O5Jntrd/9rdZyV5RWYBTJJ8L8mRVXVwd1/R3R9Yxbp+yHSG0QlJnt7dl3f3+Umel+QRc4t9sbtf3t3XJDk1ydbMGjUAYPGuSXKDJHeoqv27+/zu/twq3/uS7v5yd1+U2Rc+Z3b3x7r7X5O8NbMvpFbj5Km/+WSSP8sPvlz79STP7u5Lu/srmX05tr2H+F5mPcPhU4/zvr5uN1f99STP7+7Pd/cVSZ6e5IT64cvrT+7uK7v740k+nlnYBGxAAh4gVfXI+sGlVt9McsfMzih5T5IbV9Vdq+qIzL5Beuv0tsOTPGX7e6b3HZbZ2TDbXbDK9WR63wW7eO/hSfZPcsnce1+W5Far+PEu2qHh+eK0rm1Jvt7dl+8w75Bp+LGZfSP3mar6UFUdv4p17ejgqe4v7mIdSfIv2we6+zvT4AHXYV0AwB7q7vOSPDnJSpJLq+qNVbVt9+/6N1+eG75yJ+Or/Xs+3/Ns71My/btjD7F93v+d5Lwkf1NVn6+qp61yXTva2Tq25Ie/bPqXueHvRJ8CG5aABza5qjo8ycszOz35Ft19UJJPZfaUvWsyuzTpxOn1trlA5IIkz+nug+ZeN+7uN8x9fK9mPdMilyQ5dO69h80NX5DZ2UEHz63rpt39n1bxIx6ywyVPt0ly8fS6eVUduMO8i5Kkuz/b3SdmFiL9YZLTquomO/n83X1b9tXMvmE7fGfrAACWr7tf3933yOzvdWf2d//b+f/bu/coW++yPuDfxxwgFxFEbuck1ABiEC9AjIjFS4kFw8XEsrDC0gpKte2yipdVBaTkZK2y2loVL1VxichFBSEmlFJFAiIsWyUmIVxCSAmXQkI0gFyMYDDh6R/7HRlPzjnJzLyz3/mdfD5r7XX2fvee/T7zzDv7PPPd7/vu5MRND7v3LpaweebZmFMy/XvoDPHhJJn2DP6J7r5fkrOT/HhtOs/gJre2V8/h1nFT/nFYBQxCwAOclNV//h9Jkqr6vqz2rNnwu0m+K6tdeH930/LfSPJvp717qqpOqqrHHRKYbGU9r0jy9Ko6uarumuSnNu7o7uuSvC7Jz1XVF00nBLx/VX3Lbfj+7pnkR6rqDlX1nUm+IskfdPeHkvyfJP+5qo6v1Qmin5bV+YdSVd9TVffo7s8l+cT0XJ87zPP/VVbHrN/CpoDsuVV15ynk+vGNdQAAy6qq06rqzOkcgn+X1Z43n0tyeZLHVtXdqureWe3ls1v+Y1WdWFVfmdV5+n5vWv6yJM+u1Ydc3D3Jc/L5OeXxVfVl05tYn8zqULMjzSmnbpyA+TBeluTHquq+VfWF+fw5e26a7bsD1kbAA7dz3f2urM4L82dZDQFfneR/b7r/LVm9i3Ugq5MHbiy/JKsTI//3JB/Pajfhp253PVkFRq9L8vYkb03yB1m9g3TzdP/3JrljkndN6zs/q2PPb81bsjpx4UeTPDfJE7v7Y9N9T05yalbvXl2Y5Nzufv1031lJrqiqG7I64fKTNs4ldIhfTPLEWn0K1i8d5v4fzqp/70vyp1mFZC+8DXUDALvvTlmd9++jWR2KdM+szkPz0qzON/OBrOaT3zvC18/hTVnNUW9I8rPd/bpp+X9KcklWs9E7klw2LUtWs83rk9yQ1Wz1q939xsM89yunfz9WVZcd5v4XZvW9vjnJ+7MKuX54p98QsIza3rm4AHZXrT4u/Pnd/aW3+uAjP8dTk/zrabdrAIA9Yzq/4fuT3MEeM8Ac7MED7AlVdUJVPbaq9lXVyVl9pPmFt/Z1AAAACHhmU1UHl67h9kCf12OhPldWH//58awO0boyq2PNj/5FVc+vqhsOc3n+Ltc7C9v0eujzeujzscPPcj30eT2W7HNVffcR5pQrlqppt9ie10Of12PUPjtEayZV1d1dt/5IdkKf10Of10ev10Of10Ofjx1+luuhz+uhz+uhz+uhz+sxap/twQMAAAAwuH1LF7BVZ511Vr/2ta9duoxbOPfcc5PVR0Czi/R5PfR5ffR6PfR5PfZ4n/fku3Dmmts3fV4PfV4PfV4PfV6PAfp82LlmuEO0zjjjjL7kkkuWLgMAGMueDHjMNQDANhx2rnGIFgAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMLh9SxeQJFX1gSR/k+TmJDd19xnLVgQAsHVmGgBgKXsi4Jk8srs/unQRAAA7ZKYBANbOIVoAAAAAg9srAU8neV1VXVpVP7h0MQAA22SmAQAWsVcO0frG7r62qu6Z5KKqend3v3njzqo6mOTcJNm/f/+uFnLBVdft6vPvtiectrv9AYARbZ4lJud198FdWNVRZ5pDazHXHJ25BgBu6UhzzZ7Yg6e7r53+vT7JhUkedsj9B7u7ursOHDiwRIkAwMA2zxLT5eAureeoM82htZhrAICtOtJcs3jAU1UnVdWdN64neXSSdy5bFQDA1phpAIAl7YVDtO6V5MKqSlb1/G53v3bZkgAAtsxMAwAsZvGAp7vfl+TBS9cBALATZhoAYEmLH6IFAAAAwM4IeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGtycCnqo6rqreWlWvWboWAICdMNcAAEvYEwFPkqcnuXLpIgAAZmCuAQDWbvGAp6pOSfK4JC9YuhYAgJ0w1wAAS9m3dAFJfiHJTya585EeUFUHk5ybJPv3719PVcBwLrjquqVLuF17wmlen9m7Ns8Sk/O6++AurMpcA8zCXLMscw172ZHmmkX34Kmqxye5vrsvPdrjuvtgd1d314EDB9ZUHQBwrNg8S0yXg3Ovw1wDAKzDkeaapQ/RekSSs6vqA0lenuTMqvrtZUsCANgWcw0AsJhFA57ufmZ3n9LdpyZ5UpI/7u7vWbImAIDtMNcAAEtaeg8eAAAAAHZoL5xkOUnS3X+S5E8WLgMAYMfMNQDAutmDBwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwiwc8VXV8VV1cVW+rqiuq6rylawIA2CozDQCwpH1LF5DkxiRndvcNVXWHJH9aVX/Y3X++dGEAAFtgpgEAFrN4wNPdneSG6eYdpksvVxEAwNaZaQCAJS0e8CRJVR2X5NIkX5bkV7r7LYfcfzDJuUmyf//+tdfHseOCq67b1ed/wmm2T26//H4dnf4sa/MsMTmvuw/uwnqOOtMcWou5hp3wugK7x+/X0enPso401yx+Dp4k6e6bu/shSU5J8rCq+qpD7j/Y3dXddeDAgWWKBACGtXmWmC4Hd2k9R51pDq3FXAMAbNWR5po9EfBs6O5PJHljkrOWrgUAYLvMNADAus0a8FTVV2/ja+5RVXedrp+Q5FFJ3j1nXQAAW7XVucZMAwAsae5z8PxqVd0pyYuS/E53f/I2fM3+JC+ejln/giSv6O7XzFwXAMBWbXWuMdMAAIuZNeDp7m+qqgck+f4kl1bVxUl+q7svOsrXvD3JQ+esAwBgp7Y615hpAIAlzX4Onu5+T5JnJ/mpJN+S5Jeq6t1V9YS51wUAsJvMNQDAKOY+B8/XVNXzklyZ5Mwk397dXzFdf96c6wIA2E3mGgBgJHOfg+eXk7wgybO6+zMbC7v7w1X17JnXBQCwm8w1AMAw5g54HpfkM919c5JU1RckOb67P93dL515XQAAu8lcAwAMY+5z8Lw+yQmbbp84LQMAGI25BgAYxtwBz/HdfcPGjen6iTOvAwBgHcw1AMAw5g54/raqTt+4UVVfm+QzR3k8AMBeZa4BAIYx9zl4fjTJK6vqw0kqyb2TfNfM6wAAWAdzDQAwjFkDnu7+i6p6YJLTpkVXdfffz7kOAIB1MNcAACOZew+eJPm6JKdOz316VaW7X7IL6wEA2G3mGgBgCLMGPFX10iT3T3J5kpunxZ3EIAQADMVcAwCMZO49eM5I8qDu7pmfFwBg3cw1AMAw5v4UrXdmdQJCAIDRmWsAgGHMvQfP3ZO8q6ouTnLjxsLuPnvm9QAA7DZzDQAwjLkDnoMzPx8AwFIOLl0AAMBtNffHpL+pqr40yQO6+/VVdWKS4+ZcBwDAOphrAICRzHoOnqr6gSTnJ/n1adHJSV415zoAANbBXAMAjGTukyz/UJJHJPlUknT3e5Lcc+Z1AACsg7kGABjG3AHPjd392Y0bVbUviY8WBQBGZK4BAIYxd8Dzpqp6VpITqupRSV6Z5H/OvA4AgHUw1wAAw5g74HlGko8keUeSf5PkD5I8e+Z1AACsg7kGABjG3J+i9bkkvzFdAACGZa4BAEYya8BTVe/PYY5N7+77zbkeAIDdZq4BAEYya8CT5IxN149P8p1J7jbzOgAA1sFcAwAMY9Zz8HT3xzZdru3uX0jyuDnXAQCwDuYaAGAkcx+idfqmm1+Q1Ttfc+8lBACw68w1AMBI5h5Sfm7T9ZuSfCDJv5x5HQAA62CuAQCGMfenaD1yzucDAFiKuQYAGMnch2j9+NHu7+6fn3N9AAC7xVwDAIxkNz5F6+uSvHq6/e1JLk7ynpnXAwCw28w1AMAw5g54Tklyenf/TZJU1cEk/6u7v2fm9QAA7DZzDQAwjFk/Jj3JvZJ8dtPtz07LAABGY64BAIYx9x48L0lycVVdON3+jiQvnnkdAADrYK4BAIYx96doPbeq/jDJN02Lvq+73zrnOgAA1sFcAwCMZO5DtJLkxCSf6u5fTHJNVd13F9YBALAO5hoAYAizBjxVdW6Sn0ryzGnRHZL89pzrAABYB3MNADCSuffg+RdJzk7yt0nS3R9OcueZ1wEAsA7mGgBgGHMHPJ/t7k7SSVJVJ838/AAA62KuAQCGMXfA84qq+vUkd62qH0jy+iS/MfM6AADWwVwDAAxj7k/R+tmqelSSTyU5LclzuvuiOdcBALAO5hoAYCSzBTxVdVyS13f3I5MYfgCAYZlrAIDRzHaIVnffnORzVXWXuZ4TAGAJ5hoAYDSzHqKV5IYk76iqizJ94kSSdPePzLweAIDdZq4BAIYxd8BzwXQBABiduQYAGMYsAU9V/ZPu/mB3v3iO5wMAWIq5BgAY0Vzn4HnVxpWq+v2ZnhMAYAnmGgBgOHMFPLXp+v1mek4AgCWYawCA4cwV8PQRrgMAjMZcAwAMZ66TLD+4qj6V1TteJ0zXM93u7v6imdYDALDbzDUAwHBmCXi6+7g5ngcAYGnmGgBgRHMdogUAAADAQgQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADG7xgKeq7lNVb6yqd1XVFVX19KVrAgDYKjMNALCkfUsXkOSmJD/R3ZdV1Z2TXFpVF3X3u5YuDABgC8w0AMBiFt+Dp7uv6+7Lput/k+TKJCcvWxUAwNaYaQCAXirVkQAAD1FJREFUJe2FPXj+QVWdmuShSd5yyPKDSc5Nkv3796+7rKFccNV1S5fALtrtn+8TTtvd3y/bJ7CUzbPE5LzuPriL6zs1h5lpDq3FXHN0/t84tplrALbnSHPN4nvwbKiqL0zy+0l+tLs/tfm+7j7Y3dXddeDAgWUKBACGtXmWmC4Hd2tdR5tpDq3FXAMAbNWR5po9EfBU1R2yGoR+p7svWLoeAIDtMNMAAEtZPOCpqkrym0mu7O6fX7oeAIDtMNMAAEtaPOBJ8ogk/yrJmVV1+XR57NJFAQBskZkGAFjM4idZ7u4/TVJL1wEAsBNmGgBgSXthDx4AAAAAdkDAAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADE7AAwAAADA4AQ8AAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDwAAAAAgxPwAAAAAAxOwAMAAAAwOAEPAAAAwOAEPAAAAACDE/AAAAAADG7xgKeqXlhV11fVO5euBQBgJ8w1AMBSFg94krwoyVlLFwEAMIMXxVwDACxg8YCnu9+c5K+XrgMAYKfMNQDAUhYPeAAAAADYmX1LF3BbVNXBJOcmyf79+5ctBo7igquuW7qEHRm9ftiJ0bf/0et/wmm7+//75llicl53H9zVld6GWsw17GWjv66MXj/sxOjb/+j1LzXXDLEHT3cf7O7q7jpw4MDS5QAAg9k8S0yXg3uhFnMNALBVR5prhgh4AAAAADiyxQOeqnpZkj9LclpVXVNVT1u6JgCA7TDXAABLWfwcPN395KVrAACYg7kGAFjK4nvwAAAAALAzAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABicgAcAAABgcAIeAAAAgMEJeAAAAAAGJ+ABAAAAGJyABwAAAGBwAh4AAACAwe2JgKeqzqqqq6rq6qp6xtL1AABsh5kGAFjK4gFPVR2X5FeSPCbJg5I8uaoetGxVAABbY6YBAJa0eMCT5GFJru7u93X3Z5O8PMk5C9cEALBVZhoAYDH7li4gyclJPrTp9jVJvn7zA6rqYJJzp5ufrqor11PalhxI8uGli7gd0Of10Of10ev10Of12Mt9vjrJ/TfdPq+7D868jludaRJzDf+IPq+HPq+HPq+HPq/HXu/zYeeavRDw3KppADu4cBlHVVXd3QeWruNYp8/roc/ro9froc/roc+3jbmGDfq8Hvq8Hvq8Hvq8HqP2eS8conVtkvtsun3KtAwAYCRmGgBgMXsh4PmLJA+oqvtW1R2TPCnJqxeuCQBgq8w0AMBiFj9Eq7tvqqp/n+SPkhyX5IXdfcXCZW3HeUsXcDuhz+uhz+uj1+uhz+txu+7zMTTTJLfzn+Ua6fN66PN66PN66PN6DNnn6u6lawAAAABgB/bCIVoAAAAA7ICABwAAAGBwAp5tqKrjq+riqnpbVV1RVedNy+9bVW+pqqur6vemEyyyQ1V1XFW9tapeM93W55lV1Qeq6h1VdXlVXTItu1tVXVRV75n+/eKl6xxdVd21qs6vqndX1ZVV9Q36PK+qOm3ajjcun6qqH9Xn+VXVj03/B76zql42/d/o9XkQW3k9qpVfmn6ub6+q05eufxRb+T2pqjtNt6+e7j912er3tqp6YVVdX1Xv3LRsy9twVT1levx7quopS3wve9kR+vzfpteOt1fVhVV11033PXPq81VV9W2blp81Lbu6qp6x7u9jrztcnzfd9xNV1VV19+m27XmbjtTnqvrhaZu+oqp+ZtPy4bZnAc/23JjkzO5+cJKHJDmrqh6e5L8meV53f1mSjyd52oI1HkuenuTKTbf1eXc8srsf0t1nTLefkeQN3f2AJG+YbrMzv5jktd39wCQPzmq71ucZdfdV03b8kCRfm+TTSS6MPs+qqk5O8iNJzujur8rqhMJPitfnkWzl9egxSR4wXX4wya+tv9zxbOP35GlJPj4tf970OI7sRUnOOmTZlrbhqrpbknOTfH2ShyU51xsAt/Ci3LLPFyX5qu7+miT/N8kzk6SqHpTVNv6V09f8aq3eqD0uya9k9XN4UJInT4/l816UW/Y5VXWfJI9O8sFNi23P2/eiHNLnqnpkknOSPLi7vzLJz07Lh9yeBTzb0Cs3TDfvMF06yZlJzp+WvzjJdyxQ3jGlqk5J8rgkL5huV/R5Xc7Jqr+JPu9YVd0lyTcn+c0k6e7Pdvcnos+76VuTvLe7/1/0eTfsS3JCVe1LcmKS6+L1eQjbeD06J8lLpvnnz5Pctar2r7nsUW3l92Rz/89P8q3T3MNhdPebk/z1IYu3ug1/W5KLuvuvu/vjWQUXt/gj+/bscH3u7td1903TzT9Pcsp0/ZwkL+/uG7v7/UmuzipoeFiSq7v7fd392SQvnx7L5Ajbc7IKe38yq781N9iet+kIff53Sf5Ld984Peb6afmQ27OAZ5um9O7yJNdn9cvz3iSf2PRid02Sk5eq7xjyC1m9qH1uuv0l0efd0EleV1WXVtUPTsvu1d3XTdf/Msm9lintmHHfJB9J8lu1OuTwBVV1UvR5Nz0pycum6/o8o+6+Nqt3uD6Y1R+sn0xyabw+j2Krr0cnJ/nQpq/3s70NtvF78g99nu7/ZFZzD7fdVrdh2/bOfX+SP5yu6/OMquqcJNd299sOuUuf5/XlSb5pOjT2TVX1ddPyIfss4Nmm7r55OgTglKxSvAcuXNIxp6oen+T67r506VpuB76xu0/PalfDH6qqb958Z3d3/vE7B2zdviSnJ/m17n5okr/NIYcJ6fN8pnNanJ3klYfep887N+3yfU5WQcGBJCfFu4Qj8Xq0Bn5PlmUb3n1V9dNJbkryO0vXcqypqhOTPCvJc5au5XZgX5K7JXl4kv+Q5BUj7z0p4NmhaZfmNyb5hqx2j9s33XVKkmsXK+zY8IgkZ1fVB7La9e3MrM4ZoM8zm95l3Ngl8cKsQsu/2tgFf/r3+iM/A7fBNUmu6e63TLfPz+oPLH3eHY9Jcll3/9V0W5/n9c+TvL+7P9Ldf5/kgqxes70+j2Grr0fXJrnPpq/3s71ttvp78g99nu6/S5KPrbfk4W11G7Ztb1NVPTXJ45N89xSmJfo8p/tnFQ6/bfpb6JQkl1XVvaPPc7smyQXTIW8XZ3XkyN0zaJ8FPNtQVffYOFt8VZ2Q5FFZnZzwjUmeOD3sKUn+xzIVHhu6+5ndfUp3n5rVoRZ/3N3fHX2eVVWdVFV33rie1Ync3pnk1Vn1N9HnHevuv0zyoao6bVr0rUneFX3eLU/O5w/PSvR5bh9M8vCqOnF6l2tje/b6PIBtvB69Osn3Tp/c8vAkn9x0GAxHttXfk839f2JWc489ULZmq9vwHyV5dFV98bTH1aOnZRxFVZ2V1SkUzu7uT2+669VJnlSrT4S7b1YnAb44yV8keUCtPkHujlnN9a9ed90j6e53dPc9u/vU6W+ha5KcPr1+257n9aokj0ySqvryJHdM8tGMuj13t8sWL0m+Jslbk7w9qz+EnzMtv19WP/Srszos4E5L13qsXJL8sySv0edd6e39krxtulyR5Ken5V+S1SdQvCfJ65PcbelaR79k9al7l0yvHa9K8sX6vCt9Pimrd73vsmmZPs/f5/OSvHv6f/ClSe7k9Xmcy1Zej5JUVp8Y8t4k78jqU6EW/x5GuGzl9yTJ8dPtq6f777d0/Xv5klWIf12Sv8/qj9+nbWcbzuocMldPl+9b+vvaa5cj9PnqrM5Bcvl0ef6mx//01Oerkjxm0/LHZvWJW+/dmDVdjt7nQ+7/QJK7T9dtzzP2OatA57en1+nLsvq07I3HD7c911QgAAAAAINyiBYAAADA4AQ8AAAAAIMT8AAAAAAMTsADAAAAMDgBDwAAAMDgBDzAUKrq5qq6vKreVlWXVdU/nZYfqKrzl64PAOC2MtcAc/Ix6cBQquqG7v7C6fq3JXlWd3/LwmUBAGyZuQaYkz14gJF9UZKPJ0lVnVpV75yuP7WqLqiq11bVe6rqZxatEgDg1plrgB3Zt3QBAFt0QlVdnuT4JPuTnHmExz0kyUOT3Jjkqqr65e7+0JpqBAC4Lcw1wGzswQOM5jPd/ZDufmCSs5K8pKrqMI97Q3d/srv/Lsm7knzpWqsEALh15hpgNgIeYFjd/WdJ7p7kHoe5+8ZN12+OPRYBgD3MXAPslIAHGFZVPTDJcUk+tnQtAAA7Ya4BdkryC4xm41j1JKkkT+numw+/NzMAwJ5mrgFm42PSAQAAAAbnEC0AAACAwQl4AAAAAAYn4AEAAAAYnIAHAAAAYHACHgAAAIDBCXgAAAAABifgAQAAABjc/wcaCY/JCnBPSwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_distributions(\"season_scores_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_distributions(\"teams_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_training_dataset_distributions(\"team_position_prediction\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting Feature Correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_correlations(\"players_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_correlations(\"teams_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_correlations(\"season_scores_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_correlations(\"attendances_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_correlations(\"games_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_training_dataset_correlations(\"team_position_prediction\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting Feature Clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_clusters(\"games_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_clusters(\"attendances_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_clusters(\"season_scores_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_clusters(\"teams_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_featuregroup_clusters(\"players_features\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remember to add %%matplotlib inline when doing visualizations in Jupyter notebooks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "featurestore.visualize_training_dataset_clusters(\"team_position_prediction\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualizing Descriptive Statistics of Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/hops/anaconda/anaconda/envs/python36/lib/python3.6/site-packages/autovizwidget/widget/utils.py:50: FutureWarning:\n",
      "\n",
      "A future version of pandas will default to `skipna=True`. To silence this warning, pass `skipna=True|False` explicitly.\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8f3828693d8344eb8aa57f91bc3c01b3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(HTML(value='Type:'), Button(description='Table', layout=Layout(width='70px'), st…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fdcf8b4611464cfbb13859aaf66dd891",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "desc_stats_df = featurestore.visualize_training_dataset_descriptive_stats(\"team_position_prediction\")\n",
    "desc_stats_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/hops/anaconda/anaconda/envs/python36/lib/python3.6/site-packages/autovizwidget/widget/utils.py:50: FutureWarning:\n",
      "\n",
      "A future version of pandas will default to `skipna=True`. To silence this warning, pass `skipna=True|False` explicitly.\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4be9f4869f764e94b038c3ad2c7dc0ee",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(HTML(value='Type:'), Button(description='Table', layout=Layout(width='70px'), st…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7aa230b5c32c4d46beeb94c367591a85",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "desc_stats_df = featurestore.visualize_featuregroup_descriptive_stats(\"games_features\")\n",
    "desc_stats_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/hops/anaconda/anaconda/envs/python36/lib/python3.6/site-packages/autovizwidget/widget/utils.py:50: FutureWarning:\n",
      "\n",
      "A future version of pandas will default to `skipna=True`. To silence this warning, pass `skipna=True|False` explicitly.\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2b083176b3ee4827bddf7193d51b7742",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(HTML(value='Type:'), Button(description='Table', layout=Layout(width='70px'), st…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2e7afcaf2ec340d699e01c3c2e0c9377",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "desc_stats_df = featurestore.visualize_featuregroup_descriptive_stats(\"attendances_features\")\n",
    "desc_stats_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/hops/anaconda/anaconda/envs/python36/lib/python3.6/site-packages/autovizwidget/widget/utils.py:50: FutureWarning:\n",
      "\n",
      "A future version of pandas will default to `skipna=True`. To silence this warning, pass `skipna=True|False` explicitly.\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5fb7cf77436844cba47159493aa163a2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(HTML(value='Type:'), Button(description='Table', layout=Layout(width='70px'), st…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "09e6394ed2c841a592eb3a28a5f32be0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "desc_stats_df = featurestore.visualize_featuregroup_descriptive_stats(\"season_scores_features\")\n",
    "desc_stats_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/hops/anaconda/anaconda/envs/python36/lib/python3.6/site-packages/autovizwidget/widget/utils.py:50: FutureWarning:\n",
      "\n",
      "A future version of pandas will default to `skipna=True`. To silence this warning, pass `skipna=True|False` explicitly.\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "875664cd74094bc99048ec8f91e81001",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(HTML(value='Type:'), Button(description='Table', layout=Layout(width='70px'), st…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bc1232998b114be69c9c7fec55152392",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "desc_stats_df = featurestore.visualize_featuregroup_descriptive_stats(\"teams_features\")\n",
    "desc_stats_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/hops/anaconda/anaconda/envs/python36/lib/python3.6/site-packages/autovizwidget/widget/utils.py:50: FutureWarning:\n",
      "\n",
      "A future version of pandas will default to `skipna=True`. To silence this warning, pass `skipna=True|False` explicitly.\n",
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e0f741a4dfc0439fb518b66d4e07b447",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(HTML(value='Type:'), Button(description='Table', layout=Layout(width='70px'), st…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6742a2fb29274b0b89f6a5464c05f6f8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%local\n",
    "desc_stats_df = featurestore.visualize_featuregroup_descriptive_stats(\"players_features\")\n",
    "desc_stats_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting in a `spark` driver or executor\n",
    "\n",
    "Since the notebook server is talking remotely to the spark driver or executor we can't expect visualizations to work out of the box. However, what you can do to perform visualizations in spark is to set the flag `plot=False` which will not plot the figure but rather return it, and then you can save the figure as a .png or .jpg to HopsFS and access it later on"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting Feature Distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path teams_features_distributions.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//teams_features_distributions.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_distributions(\"teams_features\", plot=False)\n",
    "fig.savefig(\"teams_features_distributions.png\")\n",
    "hdfs.copy_to_hdfs(\"teams_features_distributions.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path games_features_distributions.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//games_features_distributions.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_distributions(\"games_features\", plot=False)\n",
    "fig.savefig(\"games_features_distributions.png\")\n",
    "hdfs.copy_to_hdfs(\"games_features_distributions.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path season_scores_features_distributions.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//season_scores_features_distributions.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_distributions(\"season_scores_features\", plot=False)\n",
    "fig.savefig(\"season_scores_features_distributions.png\")\n",
    "hdfs.copy_to_hdfs(\"season_scores_features_distributions.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path attendances_features_distributions.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//attendances_features_distributions.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_distributions(\"attendances_features\", plot=False)\n",
    "fig.savefig(\"attendances_features_distributions.png\")\n",
    "hdfs.copy_to_hdfs(\"attendances_features_distributions.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path players_features_distributions.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//players_features_distributions.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_distributions(\"players_features\", plot=False)\n",
    "fig.savefig(\"players_features_distributions.png\")\n",
    "hdfs.copy_to_hdfs(\"players_features_distributions.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path team_position_prediction_distributions.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//team_position_prediction_distributions.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_training_dataset_distributions(\"team_position_prediction\", plot=False)\n",
    "fig.savefig(\"team_position_prediction_distributions.png\")\n",
    "hdfs.copy_to_hdfs(\"team_position_prediction_distributions.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting Feature Correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path teams_features_correlations.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//teams_features_correlations.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_correlations(\"teams_features\", plot=False)\n",
    "fig.savefig(\"teams_features_correlations.png\")\n",
    "hdfs.copy_to_hdfs(\"teams_features_correlations.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path games_features_correlations.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//games_features_correlations.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_correlations(\"games_features\", plot=False)\n",
    "fig.savefig(\"games_features_correlations.png\")\n",
    "hdfs.copy_to_hdfs(\"games_features_correlations.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path attendances_features_correlations.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//attendances_features_correlations.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_correlations(\"attendances_features\", plot=False)\n",
    "fig.savefig(\"attendances_features_correlations.png\")\n",
    "hdfs.copy_to_hdfs(\"attendances_features_correlations.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path season_scores_features_correlations.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//season_scores_features_correlations.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_correlations(\"season_scores_features\", plot=False)\n",
    "fig.savefig(\"season_scores_features_correlations.png\")\n",
    "hdfs.copy_to_hdfs(\"season_scores_features_correlations.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path players_features_correlations.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//players_features_correlations.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_correlations(\"players_features\", plot=False)\n",
    "fig.savefig(\"players_features_correlations.png\")\n",
    "hdfs.copy_to_hdfs(\"players_features_correlations.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path team_position_prediction_correlations.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//team_position_prediction_correlations.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_training_dataset_correlations(\"team_position_prediction\", plot=False)\n",
    "fig.savefig(\"team_position_prediction_correlations.png\")\n",
    "hdfs.copy_to_hdfs(\"team_position_prediction_correlations.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting Feature Clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path teams_features_clusters.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//teams_features_clusters.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_clusters(\"teams_features\", plot=False)\n",
    "fig.savefig(\"teams_features_clusters.png\")\n",
    "hdfs.copy_to_hdfs(\"teams_features_clusters.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path players_features_clusters.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//players_features_clusters.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_clusters(\"players_features\", plot=False)\n",
    "fig.savefig(\"players_features_clusters.png\")\n",
    "hdfs.copy_to_hdfs(\"players_features_clusters.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path attendances_features_clusters.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//attendances_features_clusters.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_clusters(\"attendances_features\", plot=False)\n",
    "fig.savefig(\"attendances_features_clusters.png\")\n",
    "hdfs.copy_to_hdfs(\"attendances_features_clusters.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path season_scores_features_clusters.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//season_scores_features_clusters.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_clusters(\"season_scores_features\", plot=False)\n",
    "fig.savefig(\"season_scores_features_clusters.png\")\n",
    "hdfs.copy_to_hdfs(\"season_scores_features_clusters.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path games_features_clusters.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//games_features_clusters.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_featuregroup_clusters(\"games_features\", plot=False)\n",
    "fig.savefig(\"games_features_clusters.png\")\n",
    "hdfs.copy_to_hdfs(\"games_features_clusters.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started copying local path team_position_prediction_clusters.png to hdfs path hdfs://10.0.2.15:8020/Projects/demo_featurestore_admin000/Resources//team_position_prediction_clusters.png\n",
      "\n",
      "Finished copying"
     ]
    }
   ],
   "source": [
    "fig = featurestore.visualize_training_dataset_clusters(\"team_position_prediction\", plot=False)\n",
    "fig.savefig(\"team_position_prediction_clusters.png\")\n",
    "hdfs.copy_to_hdfs(\"team_position_prediction_clusters.png\", \"Resources/\", overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualizing Descriptive Statistics of Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   metric  team_budget   team_id  team_position\n",
      "0  stddev    5238.9430  14.57738       14.57738\n",
      "1     min     760.8729   1.00000        1.00000\n",
      "2    mean    8723.2920  25.50000       25.50000\n",
      "3   count      50.0000  50.00000       50.00000\n",
      "4     max   21319.5330  50.00000       50.00000"
     ]
    }
   ],
   "source": [
    "desc_stats_df = featurestore.visualize_featuregroup_descriptive_stats(\"teams_features\")\n",
    "desc_stats_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   metric  home_team_id         score  away_team_id\n",
      "0  stddev     14.334562      0.918359     14.504639\n",
      "1     min      1.000000      1.000000      1.000000\n",
      "2    mean     25.589900      2.001300     25.576800\n",
      "3   count  10000.000000  10000.000000  10000.000000\n",
      "4     max     50.000000      3.000000     50.000000"
     ]
    }
   ],
   "source": [
    "desc_stats_df = featurestore.visualize_featuregroup_descriptive_stats(\"games_features\")\n",
    "desc_stats_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   metric  sum_position   team_id  average_position\n",
      "0  stddev      306.1239  14.57738         15.306195\n",
      "1     min      542.0000   1.00000         27.100000\n",
      "2    mean     1009.7800  25.50000         50.489000\n",
      "3   count       50.0000  50.00000         50.000000\n",
      "4     max     1607.0000  50.00000         80.350000"
     ]
    }
   ],
   "source": [
    "desc_stats_df = featurestore.visualize_featuregroup_descriptive_stats(\"season_scores_features\")\n",
    "desc_stats_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   metric  sum_attendance   team_id  average_attendance\n",
      "0  stddev      284646.200  14.57738          14232.3090\n",
      "1     min       20770.475   1.00000           1038.5237\n",
      "2    mean      173387.880  25.50000           8669.3940\n",
      "3   count          50.000  50.00000             50.0000\n",
      "4     max     1846021.800  50.00000          92301.0860"
     ]
    }
   ],
   "source": [
    "desc_stats_df = featurestore.visualize_featuregroup_descriptive_stats(\"attendances_features\")\n",
    "desc_stats_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   metric  sum_player_rating  ...  sum_player_age  average_player_age\n",
      "0  stddev         118708.750  ...        52.29132            0.522913\n",
      "1     min          15096.327  ...      2434.00000           24.340000\n",
      "2    mean          71738.375  ...      2556.84000           25.568400\n",
      "3   count             50.000  ...        50.00000           50.000000\n",
      "4     max         719186.300  ...      2700.00000           27.000000\n",
      "\n",
      "[5 rows x 8 columns]"
     ]
    }
   ],
   "source": [
    "desc_stats_df = featurestore.visualize_featuregroup_descriptive_stats(\"players_features\")\n",
    "desc_stats_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   metric  team_budget  ...  sum_player_rating  average_attendance\n",
      "0  stddev    5238.9430  ...         118708.750          14232.3090\n",
      "1     min     760.8729  ...          15096.327           1038.5237\n",
      "2    mean    8723.2920  ...          71738.375           8669.3940\n",
      "3   count      50.0000  ...             50.000             50.0000\n",
      "4     max   21319.5330  ...         719186.300          92301.0860\n",
      "\n",
      "[5 rows x 13 columns]"
     ]
    }
   ],
   "source": [
    "desc_stats_df = featurestore.visualize_training_dataset_descriptive_stats(\"team_position_prediction\")\n",
    "desc_stats_df.head()"
   ]
  }
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